diff --git a/logs/log_94f0d6aa b/logs/log_94f0d6aa new file mode 100644 index 0000000000..31cf50b3ba --- /dev/null +++ b/logs/log_94f0d6aa @@ -0,0 +1,2431 @@ +***** Runner ***** + +· Creating environments +· Discovering benchmarks +·· Uninstalling from conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0 +·· Building 94f0d6aa
for conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0 +·· Installing 94f0d6aa
into conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0 +· Running 115 total benchmarks (1 commits * 1 environments * 115 benchmarks) +[ 0.00%] · For scikit-learn commit 94f0d6aa
: +[ 0.00%] ·· Benchmarking conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0 +[ 0.87%] ··· Setting up cluster:16 ok +[ 0.87%] ··· cluster.KMeansBenchmark.peakmem_fit ok +[ 0.87%] ··· ================ =========== ======== =========== + -- init + ---------------------------- -------------------- + representation algorithm random k-means++ + ================ =========== ======== =========== + dense lloyd 104M 114M + dense elkan 138M 138M + sparse lloyd 255M 255M + sparse elkan 262M 261M + ================ =========== ======== =========== + +[ 1.74%] ··· cluster.KMeansBenchmark.peakmem_predict ok +[ 1.74%] ··· ================ =========== ======== =========== + -- init + ---------------------------- -------------------- + representation algorithm random k-means++ + ================ =========== ======== =========== + dense lloyd 90.8M 90.9M + dense elkan 90.9M 90.7M + sparse lloyd 98.2M 98.2M + sparse elkan 98.2M 98.2M + ================ =========== ======== =========== + +[ 2.61%] ··· cluster.KMeansBenchmark.peakmem_transform ok +[ 2.61%] ··· ================ =========== ======== =========== + -- init + ---------------------------- -------------------- + representation algorithm random k-means++ + ================ =========== ======== =========== + dense lloyd 121M 121M + dense elkan 121M 121M + sparse lloyd 125M 125M + sparse elkan 125M 125M + ================ =========== ======== =========== + +[ 3.48%] ··· cluster.KMeansBenchmark.time_fit ok +[ 3.48%] ··· ================ =========== ============ ============ + -- init + ---------------------------- ------------------------- + representation algorithm random k-means++ + ================ =========== ============ ============ + dense lloyd 400±4ms 1.28±0s + dense elkan 2.21±0.01s 2.18±0.02s + sparse lloyd 1.85±0.05s 4.50±0.04s + sparse elkan 3.51±0.03s 5.15±0.05s + ================ =========== ============ ============ + +[ 4.35%] ··· cluster.KMeansBenchmark.time_predict ok +[ 4.35%] ··· ================ =========== ============ ============ + -- init + ---------------------------- ------------------------- + representation algorithm random k-means++ + ================ =========== ============ ============ + dense lloyd 6.57±1ms 5.19±0.2ms + dense elkan 5.25±0.1ms 8.13±1ms + sparse lloyd 27.1±6ms 16.4±6ms + sparse elkan 27.0±6ms 27.0±6ms + ================ =========== ============ ============ + +[ 5.22%] ··· cluster.KMeansBenchmark.time_transform ok +[ 5.22%] ··· ================ =========== =========== =========== + -- init + ---------------------------- ----------------------- + representation algorithm random k-means++ + ================ =========== =========== =========== + dense lloyd 106±0.3ms 106±0.3ms + dense elkan 106±0.4ms 106±0.2ms + sparse lloyd 3.79±1s 3.81±1s + sparse elkan 3.39±1s 3.80±1s + ================ =========== =========== =========== + +[ 6.09%] ··· cluster.KMeansBenchmark.track_test_score ok +[ 6.09%] ··· ================ =========== =========== ===================== + representation algorithm init + ---------------- ----------- ----------- --------------------- + dense lloyd random -4.1098856925964355 + dense lloyd k-means++ -3.0753684043884277 + dense elkan random -4.1098856925964355 + dense elkan k-means++ -3.0753684043884277 + sparse lloyd random -0.9266619682312012 + sparse lloyd k-means++ -0.9249227643013 + sparse elkan random -0.9266619682312012 + sparse elkan k-means++ -0.9249262809753418 + ================ =========== =========== ===================== + +[ 6.96%] ··· cluster.KMeansBenchmark.track_train_score ok +[ 6.96%] ··· ================ =========== =========== ===================== + representation algorithm init + ---------------- ----------- ----------- --------------------- + dense lloyd random -4.1075520515441895 + dense lloyd k-means++ -3.0780563354492188 + dense elkan random -4.1075520515441895 + dense elkan k-means++ -3.0780560970306396 + sparse lloyd random -0.9227071404457092 + sparse lloyd k-means++ -0.922096312046051 + sparse elkan random -0.9227071404457092 + sparse elkan k-means++ -0.9221000075340271 + ================ =========== =========== ===================== + +[ 7.83%] ··· Setting up cluster:65 ok +[ 7.83%] ··· cluster.MiniBatchKMeansBenchmark.peakmem_fit ok +[ 7.83%] ··· ================ ======== =========== + -- init + ---------------- -------------------- + representation random k-means++ + ================ ======== =========== + dense 91.9M 92.6M + sparse 175M 176M + ================ ======== =========== + +[ 8.70%] ··· ...ter.MiniBatchKMeansBenchmark.peakmem_predict ok +[ 8.70%] ··· ================ ======== =========== + -- init + ---------------- -------------------- + representation random k-means++ + ================ ======== =========== + dense 88.8M 88.8M + sparse 104M 104M + ================ ======== =========== + +[ 9.57%] ··· ...r.MiniBatchKMeansBenchmark.peakmem_transform ok +[ 9.57%] ··· ================ ======== =========== + -- init + ---------------- -------------------- + representation random k-means++ + ================ ======== =========== + dense 120M 120M + sparse 124M 124M + ================ ======== =========== + +[10.43%] ··· cluster.MiniBatchKMeansBenchmark.time_fit ok +[10.43%] ··· ================ ========== ============ + -- init + ---------------- ----------------------- + representation random k-means++ + ================ ========== ============ + dense 483±10ms 506±20ms + sparse 619±3ms 1.72±0.01s + ================ ========== ============ + +[11.30%] ··· cluster.MiniBatchKMeansBenchmark.time_predict ok +[11.30%] ··· ================ ============ ============ + -- init + ---------------- ------------------------- + representation random k-means++ + ================ ============ ============ + dense 5.41±0.2ms 5.22±0.1ms + sparse 36.7±2ms 24.0±9ms + ================ ============ ============ + +[12.17%] ··· cluster.MiniBatchKMeansBenchmark.time_transform ok +[12.17%] ··· ================ ============ ============ + -- init + ---------------- ------------------------- + representation random k-means++ + ================ ============ ============ + dense 88.5±0.4ms 88.4±0.4ms + sparse 7.60±0.04s 7.57±0.05s + ================ ============ ============ + +[13.04%] ··· ...er.MiniBatchKMeansBenchmark.track_test_score ok +[13.04%] ··· ================ =========== ===================== + representation init + ---------------- ----------- --------------------- + dense random -4.596621036529541 + dense k-means++ -3.1085314750671387 + sparse random -0.9366871118545532 + sparse k-means++ -0.9386959075927734 + ================ =========== ===================== + +[13.91%] ··· ...r.MiniBatchKMeansBenchmark.track_train_score ok +[13.91%] ··· ================ ===================== ==================== + -- init + ---------------- ------------------------------------------ + representation random k-means++ + ================ ===================== ==================== + dense -4.584851264953613 -3.115997314453125 + sparse -0.9323447346687317 -0.934399425983429 + ================ ===================== ==================== + +[14.78%] ··· Setting up decomposition:41 ok +[14.78%] ··· ...tion.DictionaryLearningBenchmark.peakmem_fit ok +[14.78%] ··· =============== ====== ====== + -- n_jobs + --------------- ------------- + fit_algorithm 1 4 + =============== ====== ====== + lars 110M 131M + cd 104M 131M + =============== ====== ====== + +[15.65%] ··· ...ictionaryLearningBenchmark.peakmem_transform ok +[15.65%] ··· =============== ======= ======= + -- n_jobs + --------------- --------------- + fit_algorithm 1 4 + =============== ======= ======= + lars 85.7M 88M + cd 85.7M 87.9M + =============== ======= ======= + +[16.52%] ··· ...osition.DictionaryLearningBenchmark.time_fit ok +[16.52%] ··· =============== =========== ============ + -- n_jobs + --------------- ------------------------ + fit_algorithm 1 4 + =============== =========== ============ + lars 18.1±0.4s 10.6±0.2s + cd 733±10ms 3.28±0.06s + =============== =========== ============ + +[17.39%] ··· ...n.DictionaryLearningBenchmark.time_transform ok +[17.39%] ··· =============== ========= ========== + -- n_jobs + --------------- -------------------- + fit_algorithm 1 4 + =============== ========= ========== + lars 250±2ms 299±10ms + cd 238±3ms 293±10ms + =============== ========= ========== + +[18.26%] ··· ...DictionaryLearningBenchmark.track_test_score ok +[18.26%] ··· =============== ======== ====================== + fit_algorithm n_jobs + --------------- -------- ---------------------- + lars 1 -0.07475553452968597 + lars 4 -0.07475553452713135 + cd 1 -0.07475554198026657 + cd 4 -0.07475553814463735 + =============== ======== ====================== + +[19.13%] ··· ...ictionaryLearningBenchmark.track_train_score ok +[19.13%] ··· =============== ======== ====================== + fit_algorithm n_jobs + --------------- -------- ---------------------- + lars 1 -0.07231885939836502 + lars 4 -0.07231886142463793 + cd 1 -0.07231885939836502 + cd 4 -0.07231886151447059 + =============== ======== ====================== + +[20.00%] ··· Setting up decomposition:75 ok +[20.00%] ··· ...BatchDictionaryLearningBenchmark.peakmem_fit ok +[20.00%] ··· =============== ======= ====== + -- n_jobs + --------------- -------------- + fit_algorithm 1 4 + =============== ======= ====== + lars 98.4M 103M + cd 98.5M 102M + =============== ======= ====== + +[20.87%] ··· ...ictionaryLearningBenchmark.peakmem_transform ok +[20.87%] ··· =============== ======= ======= + -- n_jobs + --------------- --------------- + fit_algorithm 1 4 + =============== ======= ======= + lars 86.7M 88.8M + cd 86.7M 88.8M + =============== ======= ======= + +[20.87%] ···· For parameters: 'lars', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'lars', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + +[21.74%] ··· ...iniBatchDictionaryLearningBenchmark.time_fit ok +[21.74%] ··· =============== =========== ============ + -- n_jobs + --------------- ------------------------ + fit_algorithm 1 4 + =============== =========== ============ + lars 1.26±0s 1.96±0.04s + cd 388±0.3ms 2.12±0.2s + =============== =========== ============ + +[22.61%] ··· ...chDictionaryLearningBenchmark.time_transform ok +[22.61%] ··· =============== ========= ========== + -- n_jobs + --------------- -------------------- + fit_algorithm 1 4 + =============== ========= ========== + lars 240±2ms 299±20ms + cd 229±3ms 284±10ms + =============== ========= ========== + +[22.61%] ···· For parameters: 'lars', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'lars', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + +[23.48%] ··· ...DictionaryLearningBenchmark.track_test_score ok +[23.48%] ··· =============== ======== ====================== + fit_algorithm n_jobs + --------------- -------- ---------------------- + lars 1 -0.07748597115278244 + lars 4 -0.07748617679533364 + cd 1 -0.07750026136636734 + cd 4 -0.07749473786188289 + =============== ======== ====================== + +[23.48%] ···· For parameters: 'cd', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + +[24.35%] ··· ...ictionaryLearningBenchmark.track_train_score ok +[24.35%] ··· =============== ======== ====================== + fit_algorithm n_jobs + --------------- -------- ---------------------- + lars 1 -0.07458314299583435 + lars 4 -0.07458341486459641 + cd 1 -0.07460080087184906 + cd 4 -0.0745965889633329 + =============== ======== ====================== + +[24.35%] ···· For parameters: 'lars', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'lars', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 1 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + + For parameters: 'cd', 4 + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:187: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. + return func(*args, **kwargs) + +[25.22%] ··· Setting up decomposition:16 ok +[25.22%] ··· decomposition.PCABenchmark.peakmem_fit ok +[25.22%] ··· ============ ====== + svd_solver + ------------ ------ + full 907M + arpack 606M + randomized 633M + ============ ====== + +[26.09%] ··· decomposition.PCABenchmark.peakmem_transform ok +[26.09%] ··· ============ ====== + svd_solver + ------------ ------ + full 583M + arpack 584M + randomized 583M + ============ ====== + +[26.96%] ··· decomposition.PCABenchmark.time_fit ok +[26.96%] ··· ============ ============ + svd_solver + ------------ ------------ + full 2.53±0.04s + arpack 1.12±0.01s + randomized 1.13±0.01s + ============ ============ + +[27.83%] ··· decomposition.PCABenchmark.time_transform ok +[27.83%] ··· ============ ========= + svd_solver + ------------ --------- + full 158±2ms + arpack 159±1ms + randomized 159±1ms + ============ ========= + +[28.70%] ··· decomposition.PCABenchmark.track_test_score ok +[28.70%] ··· ============ ==================== + svd_solver + ------------ -------------------- + full 0.7449418902397156 + arpack 0.7449416518211365 + randomized 0.7449308037757874 + ============ ==================== + +[29.57%] ··· decomposition.PCABenchmark.track_train_score ok +[29.57%] ··· ============ ==================== + svd_solver + ------------ -------------------- + full 0.7445708513259888 + arpack 0.7445710897445679 + randomized 0.7445607781410217 + ============ ==================== + +[30.43%] ··· Setting up ensemble:64 ok +[30.43%] ··· ...dientBoostingClassifierBenchmark.peakmem_fit ok +[30.43%] ··· ================ ====== + representation + ---------------- ------ + dense 92M + sparse 117M + ================ ====== + +[31.30%] ··· ...tBoostingClassifierBenchmark.peakmem_predict ok +[31.30%] ··· ================ ======= + representation + ---------------- ------- + dense 89.3M + sparse 99M + ================ ======= + +[32.17%] ··· ...GradientBoostingClassifierBenchmark.time_fit ok +[32.17%] ··· ================ ============ + representation + ---------------- ------------ + dense 2.88±0.03s + sparse 2.35±0.01s + ================ ============ + +[33.04%] ··· ...ientBoostingClassifierBenchmark.time_predict ok +[33.04%] ··· ================ ============ + representation + ---------------- ------------ + dense 44.2±2ms + sparse 40.9±0.8ms + ================ ============ + +[33.91%] ··· ...BoostingClassifierBenchmark.track_test_score ok +[33.91%] ··· ================ ===================== + representation + ---------------- --------------------- + dense 0.5505294750107932 + sparse 0.10409974329281042 + ================ ===================== + +[34.78%] ··· ...oostingClassifierBenchmark.track_train_score ok +[34.78%] ··· ================ ===================== + representation + ---------------- --------------------- + dense 0.6308855973002645 + sparse 0.15180008167538628 + ================ ===================== + +[35.65%] ··· Setting up ensemble:103 ok +[35.65%] ··· ...dientBoostingClassifierBenchmark.peakmem_fit 104M +[36.52%] ··· ...tBoostingClassifierBenchmark.peakmem_predict 92.5M +[37.39%] ··· ...GradientBoostingClassifierBenchmark.time_fit 2.41±0.2s +[38.26%] ··· ...ientBoostingClassifierBenchmark.time_predict 84.5±1ms +[39.13%] ··· ...BoostingClassifierBenchmark.track_test_score 0.7230709112942986 +[40.00%] ··· ...oostingClassifierBenchmark.track_train_score 0.9812160155622751 +[40.87%] ··· Setting up ensemble:24 ok +[40.87%] ··· ....RandomForestClassifierBenchmark.peakmem_fit ok +[40.87%] ··· ================ ====== ====== + -- n_jobs + ---------------- ------------- + representation 1 4 + ================ ====== ====== + dense 179M 179M + sparse 403M 403M + ================ ====== ====== + +[41.74%] ··· ...domForestClassifierBenchmark.peakmem_predict ok +[41.74%] ··· ================ ====== ====== + -- n_jobs + ---------------- ------------- + representation 1 4 + ================ ====== ====== + dense 182M 189M + sparse 403M 403M + ================ ====== ====== + +[42.61%] ··· ...ble.RandomForestClassifierBenchmark.time_fit ok +[42.61%] ··· ================ ============ ============ + -- n_jobs + ---------------- ------------------------- + representation 1 4 + ================ ============ ============ + dense 7.84±0.03s 2.59±0.06s + sparse 11.9±0.06s 4.15±0.2s + ================ ============ ============ + +[43.48%] ··· ...RandomForestClassifierBenchmark.time_predict ok +[43.48%] ··· ================ ============ ========== + -- n_jobs + ---------------- ----------------------- + representation 1 4 + ================ ============ ========== + dense 245±6ms 154±6ms + sparse 2.28±0.01s 803±30ms + ================ ============ ========== + +[44.35%] ··· ...omForestClassifierBenchmark.track_test_score ok +[44.35%] ··· ================ ==================== ==================== + -- n_jobs + ---------------- ----------------------------------------- + representation 1 4 + ================ ==================== ==================== + dense 0.7623780232296038 0.7623780232296038 + sparse 0.8656423941766682 0.8656423941766682 + ================ ==================== ==================== + +[45.22%] ··· ...mForestClassifierBenchmark.track_train_score ok +[45.22%] ··· ================ ==================== ==================== + -- n_jobs + ---------------- ----------------------------------------- + representation 1 4 + ================ ==================== ==================== + dense 0.9972645771657114 0.9972645771657114 + sparse 0.9996123288718864 0.9996123288718864 + ================ ==================== ==================== + +[46.09%] ··· Setting up linear_model:187 ok +[46.09%] ··· linear_model.ElasticNetBenchmark.peakmem_fit ok +[46.09%] ··· ================ ====== ======= + -- precompute + ---------------- -------------- + representation True False + ================ ====== ======= + dense 853M 1.21G + sparse 124M n/a + ================ ====== ======= + +[46.09%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[46.96%] ··· ...ar_model.ElasticNetBenchmark.peakmem_predict ok +[46.96%] ··· ================ ======= ======= + -- precompute + ---------------- --------------- + representation True False + ================ ======= ======= + dense 490M 490M + sparse 97.1M n/a + ================ ======= ======= + +[46.96%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[47.83%] ··· linear_model.ElasticNetBenchmark.time_fit ok +[47.83%] ··· ================ ============ ========= + -- precompute + ---------------- ---------------------- + representation True False + ================ ============ ========= + dense 1.49±0s 1.82±0s + sparse 2.65±0.02s n/a + ================ ============ ========= + +[47.83%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[48.70%] ··· linear_model.ElasticNetBenchmark.time_predict ok +[48.70%] ··· ================ ============= ============ + -- precompute + ---------------- -------------------------- + representation True False + ================ ============= ============ + dense 50.0±0.7ms 46.8±0.3ms + sparse 2.31±0.04ms n/a + ================ ============= ============ + +[48.70%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[49.57%] ··· ...r_model.ElasticNetBenchmark.track_test_score ok +[49.57%] ··· ================ ==================== ==================== + -- precompute + ---------------- ----------------------------------------- + representation True False + ================ ==================== ==================== + dense 0.9274010856209145 0.9274010850953214 + sparse 0.9499090670921247 n/a + ================ ==================== ==================== + +[49.57%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[50.43%] ··· ..._model.ElasticNetBenchmark.track_train_score ok +[50.43%] ··· ================ ==================== ==================== + -- precompute + ---------------- ----------------------------------------- + representation True False + ================ ==================== ==================== + dense 0.9276022550495941 0.9276022552325599 + sparse 0.9562934741677929 n/a + ================ ==================== ==================== + +[50.43%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[51.30%] ··· Setting up linear_model:228 ok +[51.30%] ··· linear_model.LassoBenchmark.peakmem_fit ok +[51.30%] ··· ================ ====== ======= + -- precompute + ---------------- -------------- + representation True False + ================ ====== ======= + dense 853M 1.21G + sparse 124M n/a + ================ ====== ======= + +[51.30%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[52.17%] ··· linear_model.LassoBenchmark.peakmem_predict ok +[52.17%] ··· ================ ======= ======= + -- precompute + ---------------- --------------- + representation True False + ================ ======= ======= + dense 490M 490M + sparse 97.1M n/a + ================ ======= ======= + +[52.17%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[53.04%] ··· linear_model.LassoBenchmark.time_fit ok +[53.04%] ··· ================ ============ ========= + -- precompute + ---------------- ---------------------- + representation True False + ================ ============ ========= + dense 1.51±0.06s 1.85±0s + sparse 2.48±0.03s n/a + ================ ============ ========= + +[53.04%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[53.91%] ··· linear_model.LassoBenchmark.time_predict ok +[53.91%] ··· ================ ============ ============ + -- precompute + ---------------- ------------------------- + representation True False + ================ ============ ============ + dense 53.9±0.9ms 51.9±0.8ms + sparse 3.10±0.3ms n/a + ================ ============ ============ + +[53.91%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[54.78%] ··· linear_model.LassoBenchmark.track_test_score ok +[54.78%] ··· ================ ==================== ==================== + -- precompute + ---------------- ----------------------------------------- + representation True False + ================ ==================== ==================== + dense 0.9274015024583205 0.9274015028138817 + sparse 0.9486443136749665 n/a + ================ ==================== ==================== + +[54.78%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[55.65%] ··· linear_model.LassoBenchmark.track_train_score ok +[55.65%] ··· ================ =================== ==================== + -- precompute + ---------------- ---------------------------------------- + representation True False + ================ =================== ==================== + dense 0.92760249197518 0.9276024919395177 + sparse 0.953812246720767 n/a + ================ =================== ==================== + +[55.65%] ···· For parameters: 'sparse', False + asv: skipped: NotImplementedError() + +[56.52%] ··· Setting up linear_model:119 ok +[56.52%] ··· ..._model.LinearRegressionBenchmark.peakmem_fit ok +[56.52%] ··· ================ ======= + representation + ---------------- ------- + dense 1.22G + sparse 237M + ================ ======= + +[57.39%] ··· ...el.LinearRegressionBenchmark.peakmem_predict ok +[57.39%] ··· ================ ====== + representation + ---------------- ------ + dense 490M + sparse 157M + ================ ====== + +[58.26%] ··· linear_model.LinearRegressionBenchmark.time_fit ok +[58.26%] ··· ================ ============ + representation + ---------------- ------------ + dense 3.14±0.01s + sparse 1.13±0s + ================ ============ + +[59.13%] ··· ...model.LinearRegressionBenchmark.time_predict ok +[59.13%] ··· ================ ============ + representation + ---------------- ------------ + dense 54.0±0.2ms + sparse 33.6±0.3ms + ================ ============ + +[60.00%] ··· ...l.LinearRegressionBenchmark.track_test_score ok +[60.00%] ··· ================ ===================== + representation + ---------------- --------------------- + dense 0.9274012651798128 + sparse 0.10001233838608736 + ================ ===================== + +[60.87%] ··· ....LinearRegressionBenchmark.track_train_score ok +[60.87%] ··· ================ ==================== + representation + ---------------- -------------------- + dense 0.927602494829764 + sparse 0.9999999999962653 + ================ ==================== + +[61.74%] ··· Setting up linear_model:28 ok +[61.74%] ··· ...odel.LogisticRegressionBenchmark.peakmem_fit ok +[61.74%] ··· ================ ======== ======= ======= + -- n_jobs + ------------------------- --------------- + representation solver 1 4 + ================ ======== ======= ======= + dense lbfgs 106M 99.4M + dense saga 83.9M 85.1M + sparse lbfgs 382M 126M + sparse saga 104M 105M + ================ ======== ======= ======= + +[62.61%] ··· ....LogisticRegressionBenchmark.peakmem_predict ok +[62.61%] ··· ================ ======== ======= ======= + -- n_jobs + ------------------------- --------------- + representation solver 1 4 + ================ ======== ======= ======= + dense lbfgs 99.5M 99.6M + dense saga 86.4M 86.6M + sparse lbfgs 101M 101M + sparse saga 88.4M 88.4M + ================ ======== ======= ======= + +[63.48%] ··· ...r_model.LogisticRegressionBenchmark.time_fit ok +[63.48%] ··· ================ ======== ============ =========== + -- n_jobs + ------------------------- ------------------------ + representation solver 1 4 + ================ ======== ============ =========== + dense lbfgs 22.0±2ms 190±5ms + dense saga 5.73±0.03s 5.21±0.5s + sparse lbfgs 1.03±0.01s 2.97±0.1s + sparse saga 3.64±0.01s 3.67±0.2s + ================ ======== ============ =========== + +[64.35%] ··· ...del.LogisticRegressionBenchmark.time_predict ok +[64.35%] ··· ================ ======== ============= ============= + -- n_jobs + ------------------------- --------------------------- + representation solver 1 4 + ================ ======== ============= ============= + dense lbfgs 3.65±0.1ms 3.16±0.06ms + dense saga 1.88±0.02ms 1.95±0.02ms + sparse lbfgs 7.72±0.5ms 7.58±0.1ms + sparse saga 5.15±0.02ms 5.14±0.06ms + ================ ======== ============= ============= + +[65.22%] ··· ...LogisticRegressionBenchmark.track_test_score ok +[65.22%] ··· ================ ======== ======== ===================== + representation solver n_jobs + ---------------- -------- -------- --------------------- + dense lbfgs 1 0.17357358122266314 + dense lbfgs 4 0.17357358122266314 + dense saga 1 0.7718629403289631 + dense saga 4 0.7718629403289631 + sparse lbfgs 1 0.06538461538461539 + sparse lbfgs 4 0.06538461538461539 + sparse saga 1 0.5765140080078162 + sparse saga 4 0.5765140080078162 + ================ ======== ======== ===================== + +[66.09%] ··· ...ogisticRegressionBenchmark.track_train_score ok +[66.09%] ··· ================ ======== ======== ===================== + representation solver n_jobs + ---------------- -------- -------- --------------------- + dense lbfgs 1 0.17957473199153934 + dense lbfgs 4 0.17957473199153934 + dense saga 1 0.7983150836303906 + dense saga 4 0.7983150836303906 + sparse lbfgs 1 0.0681998556998557 + sparse lbfgs 4 0.0681998556998557 + sparse saga 1 0.6908414295256007 + sparse saga 4 0.6908414295256007 + ================ ======== ======== ===================== + +[66.96%] ··· Setting up linear_model:78 ok +[66.96%] ··· linear_model.RidgeBenchmark.peakmem_fit ok +[66.96%] ··· ================ =========== ======= + representation solver + ---------------- ----------- ------- + dense auto 464M + dense svd 826M + dense cholesky 464M + dense lsqr 473M + dense sparse_cg 467M + dense sag 473M + dense saga 473M + sparse auto 193M + sparse svd n/a + sparse cholesky 1.27G + sparse lsqr 194M + sparse sparse_cg 193M + sparse sag 158M + sparse saga 158M + ================ =========== ======= + +[66.96%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[67.83%] ··· linear_model.RidgeBenchmark.peakmem_predict ok +[67.83%] ··· ================ =========== ====== + representation solver + ---------------- ----------- ------ + dense auto 283M + dense svd 283M + dense cholesky 283M + dense lsqr 283M + dense sparse_cg 283M + dense sag 283M + dense saga 283M + sparse auto 120M + sparse svd n/a + sparse cholesky 120M + sparse lsqr 120M + sparse sparse_cg 118M + sparse sag 120M + sparse saga 120M + ================ =========== ====== + +[67.83%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[68.70%] ··· linear_model.RidgeBenchmark.time_fit ok +[68.70%] ··· ================ =========== ============ + representation solver + ---------------- ----------- ------------ + dense auto 209±2ms + dense svd 1.68±0.02s + dense cholesky 210±1ms + dense lsqr 225±10ms + dense sparse_cg 270±9ms + dense sag 28.2±0.3s + dense saga 12.5±0.02s + sparse auto 157±3ms + sparse svd n/a + sparse cholesky 5.76±0.1s + sparse lsqr 147±1ms + sparse sparse_cg 166±1ms + sparse sag 2.84±0.02s + sparse saga 2.13±0.01s + ================ =========== ============ + +[68.70%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[69.57%] ··· linear_model.RidgeBenchmark.time_predict ok +[69.57%] ··· ================ =========== ============= + representation solver + ---------------- ----------- ------------- + dense auto 24.0±0.7ms + dense svd 25.4±0.2ms + dense cholesky 25.4±0.09ms + dense lsqr 25.4±0.1ms + dense sparse_cg 25.4±0.2ms + dense sag 25.4±0.07ms + dense saga 25.2±0.3ms + sparse auto 7.76±0.04ms + sparse svd n/a + sparse cholesky 7.76±0.04ms + sparse lsqr 7.76±0.04ms + sparse sparse_cg 7.77±0.04ms + sparse sag 7.84±0.7ms + sparse saga 7.80±0.6ms + ================ =========== ============= + +[69.57%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[70.43%] ··· linear_model.RidgeBenchmark.track_test_score ok +[70.43%] ··· ================ =========== ==================== + representation solver + ---------------- ----------- -------------------- + dense auto 0.943399575027382 + dense svd 0.9433995638980545 + dense cholesky 0.943399575027382 + dense lsqr 0.9433995757192792 + dense sparse_cg 0.9433995989989826 + dense sag 0.94339933719428 + dense saga 0.9433995886080997 + sparse auto 0.9564195326176984 + sparse svd n/a + sparse cholesky 0.9564193554508366 + sparse lsqr 0.956419531844108 + sparse sparse_cg 0.9564195326176984 + sparse sag 0.9564217030169909 + sparse saga 0.9564213253249132 + ================ =========== ==================== + +[70.43%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[71.30%] ··· linear_model.RidgeBenchmark.track_train_score ok +[71.30%] ··· ================ =========== ==================== + representation solver + ---------------- ----------- -------------------- + dense auto 0.9444001571921127 + dense svd 0.9444001571502235 + dense cholesky 0.9444001571921127 + dense lsqr 0.9444001572131616 + dense sparse_cg 0.9444001571192623 + dense sag 0.9444001419121766 + dense saga 0.9444001543688754 + sparse auto 0.9657811619688411 + sparse svd n/a + sparse cholesky 0.9657811647920158 + sparse lsqr 0.9657811614211581 + sparse sparse_cg 0.9657811619688411 + sparse sag 0.965777609550829 + sparse saga 0.9657775749091478 + ================ =========== ==================== + +[71.30%] ···· For parameters: 'sparse', 'svd' + asv: skipped: NotImplementedError() + +[72.17%] ··· Setting up linear_model:151 ok +[72.17%] ··· linear_model.SGDRegressorBenchmark.peakmem_fit ok +[72.17%] ··· ================ ======= + representation + ---------------- ------- + dense 160M + sparse 88.3M + ================ ======= + +[73.04%] ··· ..._model.SGDRegressorBenchmark.peakmem_predict ok +[73.04%] ··· ================ ======= + representation + ---------------- ------- + dense 159M + sparse 86.8M + ================ ======= + +[73.91%] ··· linear_model.SGDRegressorBenchmark.time_fit ok +[73.91%] ··· ================ ============ + representation + ---------------- ------------ + dense 5.88±0.03s + sparse 4.82±0.03s + ================ ============ + +[74.78%] ··· linear_model.SGDRegressorBenchmark.time_predict ok +[74.78%] ··· ================ ============= + representation + ---------------- ------------- + dense 10.3±0.9ms + sparse 2.15±0.01ms + ================ ============= + +[75.65%] ··· ...model.SGDRegressorBenchmark.track_test_score ok +[75.65%] ··· ================ ==================== + representation + ---------------- -------------------- + dense 0.9636293915848902 + sparse 0.9621528931673515 + ================ ==================== + +[76.52%] ··· ...odel.SGDRegressorBenchmark.track_train_score ok +[76.52%] ··· ================ ==================== + representation + ---------------- -------------------- + dense 0.9641785427097553 + sparse 0.961614211897375 + ================ ==================== + +[77.39%] ··· Setting up manifold:15 ok +[77.39%] ··· manifold.TSNEBenchmark.peakmem_fit ok +[77.39%] ··· ============ ======= + method + ------------ ------- + exact 89.7M + barnes_hut 98M + ============ ======= + +[78.26%] ··· manifold.TSNEBenchmark.time_fit ok +[78.26%] ··· ============ ============ + method + ------------ ------------ + exact 6.40±0.01s + barnes_hut 3.19±0.07s + ============ ============ + +[79.13%] ··· manifold.TSNEBenchmark.track_test_score ok +[79.13%] ··· ============ ==================== + method + ------------ -------------------- + exact 0.3218818006120378 + barnes_hut 0.7243015766143799 + ============ ==================== + +[80.00%] ··· manifold.TSNEBenchmark.track_train_score ok +[80.00%] ··· ============ ==================== + method + ------------ -------------------- + exact 0.3218818006120378 + barnes_hut 0.7243015766143799 + ============ ==================== + +[80.87%] ··· ...istancesBenchmark.peakmem_pairwise_distances ok +[80.87%] ··· ================ ============= ======= ======= + -- n_jobs + ------------------------------ --------------- + representation metric 1 4 + ================ ============= ======= ======= + dense cosine 669M 788M + dense euclidean 752M 1.11G + dense manhattan 255M 339M + dense correlation 248M 485M + sparse cosine 1.42G 1.39G + sparse euclidean 570M 948M + sparse manhattan 187M 223M + sparse correlation n/a n/a + ================ ============= ======= ======= + +[80.87%] ···· For parameters: 'dense', 'cosine', 1 + ________________________________________________________________________________ + [Memory] Calling benchmarks.datasets._random_dataset... + _random_dataset(n_samples=12000, representation='dense') + ___________________________________________________random_dataset - 0.2s, 0.0min + + For parameters: 'dense', 'manhattan', 1 + ________________________________________________________________________________ + [Memory] Calling benchmarks.datasets._random_dataset... + _random_dataset(n_samples=4000, representation='dense') + ___________________________________________________random_dataset - 0.1s, 0.0min + + For parameters: 'sparse', 'cosine', 1 + ________________________________________________________________________________ + [Memory] Calling benchmarks.datasets._random_dataset... + _random_dataset(n_samples=12000, representation='sparse') + ___________________________________________________random_dataset - 0.9s, 0.0min + + For parameters: 'sparse', 'manhattan', 1 + ________________________________________________________________________________ + [Memory] Calling benchmarks.datasets._random_dataset... + _random_dataset(n_samples=4000, representation='sparse') + ___________________________________________________random_dataset - 0.3s, 0.0min + + For parameters: 'sparse', 'correlation', 1 + asv: skipped: NotImplementedError() + + For parameters: 'sparse', 'correlation', 4 + asv: skipped: NotImplementedError() + +[81.74%] ··· ...seDistancesBenchmark.time_pairwise_distances ok +[81.74%] ··· ================ ============= ============ ============ + -- n_jobs + ------------------------------ ------------------------- + representation metric 1 4 + ================ ============= ============ ============ + dense cosine 1.12±0.01s 1.26±0.04s + dense euclidean 1.74±0.01s 2.99±0.09s + dense manhattan 7.29±0.04s 2.62±0.05s + dense correlation 3.74±0.02s 2.18±0.3s + sparse cosine 4.16±0.01s 2.58±0.05s + sparse euclidean 2.82±0.01s 2.12±0.2s + sparse manhattan 1.23±0.02s 1.31±0.02s + sparse correlation n/a n/a + ================ ============= ============ ============ + +[81.74%] ···· For parameters: 'sparse', 'correlation', 1 + asv: skipped: NotImplementedError() + + For parameters: 'sparse', 'correlation', 4 + asv: skipped: NotImplementedError() + +[82.61%] ··· ...on.CrossValidationBenchmark.peakmem_crossval ok +[82.61%] ··· ======== ====== + n_jobs + -------- ------ + 1 218M + 4 119M + ======== ====== + +[82.61%] ···· For parameters: 1 + ________________________________________________________________________________ + [Memory] Calling benchmarks.datasets._synth_classification_dataset... + _synth_classification_dataset(n_samples=50000, n_features=100) + _____________________________________synth_classification_dataset - 0.5s, 0.0min + +[83.48%] ··· ...ction.CrossValidationBenchmark.time_crossval ok +[83.48%] ··· ======== ============ + n_jobs + -------- ------------ + 1 56.2±0.02s + 4 16.9±0.3s + ======== ============ + +[84.35%] ··· ...tion.CrossValidationBenchmark.track_crossval ok +[84.35%] ··· ======== ==================== + n_jobs + -------- -------------------- + 1 0.9001555555555555 + 4 0.9001555555555555 + ======== ==================== + +[85.22%] ··· Setting up model_selection:51 ok +[85.22%] ··· model_selection.GridSearchBenchmark.peakmem_fit ok +[85.22%] ··· ======== ======= + n_jobs + -------- ------- + 1 96.2M + 4 93.6M + ======== ======= + +[86.09%] ··· ...election.GridSearchBenchmark.peakmem_predict ok +[86.09%] ··· ======== ======= + n_jobs + -------- ------- + 1 88.4M + 4 88.4M + ======== ======= + +[86.96%] ··· model_selection.GridSearchBenchmark.time_fit ok +[86.96%] ··· ======== ============ + n_jobs + -------- ------------ + 1 5.84±0.1m + 4 1.70±0.01m + ======== ============ + +[87.83%] ··· ...l_selection.GridSearchBenchmark.time_predict ok +[87.83%] ··· ======== ============ + n_jobs + -------- ------------ + 1 70.7±0.1ms + 4 71.1±0.2ms + ======== ============ + +[88.70%] ··· ...lection.GridSearchBenchmark.track_test_score ok +[88.70%] ··· ======== ==================== + n_jobs + -------- -------------------- + 1 0.8678060899936387 + 4 0.8678060899936387 + ======== ==================== + +[89.57%] ··· ...ection.GridSearchBenchmark.track_train_score ok +[89.57%] ··· ======== ==================== + n_jobs + -------- -------------------- + 1 0.9966662088870577 + 4 0.9966662088870577 + ======== ==================== + +[90.43%] ··· Setting up neighbors:16 ok +[90.43%] ··· ...rs.KNeighborsClassifierBenchmark.peakmem_fit ok +[90.43%] ··· =========== ========= ========= ========== ========== + -- dimension / n_jobs + ----------- ----------------------------------------- + algorithm low / 1 low / 4 high / 1 high / 4 + =========== ========= ========= ========== ========== + brute 77.9M 77.9M 81.4M 81.4M + kd_tree 80.3M 80.3M 89M 89M + ball_tree 80.2M 80.2M 88.7M 88.7M + =========== ========= ========= ========== ========== + +[91.30%] ··· ...NeighborsClassifierBenchmark.peakmem_predict ok +[91.30%] ··· =========== ========= ========= ========== ========== + -- dimension / n_jobs + ----------- ----------------------------------------- + algorithm low / 1 low / 4 high / 1 high / 4 + =========== ========= ========= ========== ========== + brute 88.7M 88.9M 93.8M 93.5M + kd_tree 82.1M 84.8M 91.7M 91.2M + ball_tree 82M 84.8M 91.6M 91.5M + =========== ========= ========= ========== ========== + +[92.17%] ··· ...hbors.KNeighborsClassifierBenchmark.time_fit ok +[92.17%] ··· =========== =========== ============= ============= + -- n_jobs + ----------------------- --------------------------- + algorithm dimension 1 4 + =========== =========== ============= ============= + brute low 1.48±0.2ms 1.04±0ms + brute high 1.21±0.01ms 1.21±0.01ms + kd_tree low 17.0±0.02ms 17.1±0.03ms + kd_tree high 50.6±0.5ms 50.4±0.2ms + ball_tree low 12.3±0.02ms 9.99±2ms + ball_tree high 33.3±0.05ms 33.3±0.04ms + =========== =========== ============= ============= + +[93.04%] ··· ...s.KNeighborsClassifierBenchmark.time_predict ok +[93.04%] ··· =========== =========== ============ ============ + -- n_jobs + ----------------------- ------------------------- + algorithm dimension 1 4 + =========== =========== ============ ============ + brute low 88.8±1ms 86.6±0.3ms + brute high 129±0.8ms 125±1ms + kd_tree low 1.41±0.01s 2.81±0.09s + kd_tree high 9.31±0.4s 8.72±0.2s + ball_tree low 2.20±0.1s 5.56±0.08s + ball_tree high 7.44±0.02s 10.5±0.3s + =========== =========== ============ ============ + +[93.91%] ··· ...eighborsClassifierBenchmark.track_test_score ok +[93.91%] ··· =========== =========== ======== ==================== + algorithm dimension n_jobs + ----------- ----------- -------- -------------------- + brute low 1 0.4471293390304359 + brute low 4 0.4471293390304359 + brute high 1 0.6640774556472683 + brute high 4 0.6640774556472683 + kd_tree low 1 0.4471293390304359 + kd_tree low 4 0.4471293390304359 + kd_tree high 1 0.6640774556472683 + kd_tree high 4 0.6640774556472683 + ball_tree low 1 0.4471293390304359 + ball_tree low 4 0.4471293390304359 + ball_tree high 1 0.6640774556472683 + ball_tree high 4 0.6640774556472683 + =========== =========== ======== ==================== + +[94.78%] ··· ...ighborsClassifierBenchmark.track_train_score ok +[94.78%] ··· =========== =========== ======== ==================== + algorithm dimension n_jobs + ----------- ----------- -------- -------------------- + brute low 1 0.6371904911714082 + brute low 4 0.6371904911714082 + brute high 1 0.790424861683821 + brute high 4 0.790424861683821 + kd_tree low 1 0.6371904911714082 + kd_tree low 4 0.6371904911714082 + kd_tree high 1 0.790424861683821 + kd_tree high 4 0.790424861683821 + ball_tree low 1 0.6371904911714082 + ball_tree low 4 0.6371904911714082 + ball_tree high 1 0.790424861683821 + ball_tree high 4 0.790424861683821 + =========== =========== ======== ==================== + +[95.65%] ··· Setting up svm:14 ok +[95.65%] ··· svm.SVCBenchmark.peakmem_fit ok +[95.65%] ··· ========= ====== + kernel + --------- ------ + linear 277M + poly 277M + rbf 277M + sigmoid 277M + ========= ====== + +[95.65%] ···· For parameters: 'linear' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'poly' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'rbf' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'sigmoid' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + +[96.52%] ··· svm.SVCBenchmark.peakmem_predict ok +[96.52%] ··· ========= ====== + kernel + --------- ------ + linear 205M + poly 205M + rbf 205M + sigmoid 205M + ========= ====== + +[97.39%] ··· svm.SVCBenchmark.time_fit ok +[97.39%] ··· ========= ============ + kernel + --------- ------------ + linear 1.75±0.01s + poly 1.75±0s + rbf 1.77±0s + sigmoid 1.76±0.02s + ========= ============ + +[97.39%] ···· For parameters: 'linear' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'poly' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'rbf' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + + For parameters: 'sigmoid' + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/python3.11/site-packages/sklearn/svm/_base.py:297: ConvergenceWarning: Solver terminated early (max_iter=100). Consider pre-processing your data with StandardScaler or MinMaxScaler. + warnings.warn( + +[98.26%] ··· svm.SVCBenchmark.time_predict ok +[98.26%] ··· ========= ============ + kernel + --------- ------------ + linear 772±7ms + poly 679±9ms + rbf 1.88±0.04s + sigmoid 633±4ms + ========= ============ + +[99.13%] ··· svm.SVCBenchmark.track_test_score ok +[99.13%] ··· ========= ==================== + kernel + --------- -------------------- + linear 0.5899537620849096 + poly 0.5 + rbf 0.564312736443884 + sigmoid 0.5710382513661202 + ========= ==================== + +[100.00%] ··· svm.SVCBenchmark.track_train_score ok +[100.00%] ··· ========= ==================== + kernel + --------- -------------------- + linear 0.7373393801965231 + poly 0.6089324618736384 + rbf 0.7382063936685785 + sigmoid 0.741296518607443 + ========= ==================== + + + +***** Publish ***** + +[11.11%] · Loading machine info +[22.22%] · Getting params, commits, tags and branches +[33.33%] · Loading results +[44.44%] · Detecting steps +[55.56%] · Generating graphs +[66.67%] · Generating output for SummaryGrid +[77.78%] · Generating output for SummaryList +[88.89%] · Generating output for Regressions +[100.00%] · Writing index + + +***** Dependencies ***** + +# packages in environment at /home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e: +# +# Name Version Build Channel +_libgcc_mutex 0.1 conda_forge conda-forge +_openmp_mutex 4.5 2_gnu conda-forge +asv-runner 0.1.0 pypi_0 pypi +bzip2 1.0.8 hd590300_5 conda-forge +ca-certificates 2023.11.17 hbcca054_0 conda-forge +cython 3.0.3 py311hb755f60_0 conda-forge +joblib 1.3.2 pyhd8ed1ab_0 conda-forge +ld_impl_linux-64 2.40 h41732ed_0 conda-forge +libblas 3.9.0 20_linux64_openblas conda-forge +libcblas 3.9.0 20_linux64_openblas conda-forge +libexpat 2.5.0 hcb278e6_1 conda-forge +libffi 3.4.2 h7f98852_5 conda-forge +libgcc-ng 13.2.0 h807b86a_3 conda-forge +libgfortran-ng 13.2.0 h69a702a_3 conda-forge +libgfortran5 13.2.0 ha4646dd_3 conda-forge +libgomp 13.2.0 h807b86a_3 conda-forge +liblapack 3.9.0 20_linux64_openblas conda-forge +libnsl 2.0.1 hd590300_0 conda-forge +libopenblas 0.3.25 pthreads_h413a1c8_0 conda-forge +libsqlite 3.44.2 h2797004_0 conda-forge +libstdcxx-ng 13.2.0 h7e041cc_3 conda-forge +libuuid 2.38.1 h0b41bf4_0 conda-forge +libzlib 1.2.13 hd590300_5 conda-forge +ncurses 6.4 h59595ed_2 conda-forge +numpy 1.25.2 py311h64a7726_0 conda-forge +openssl 3.2.0 hd590300_0 conda-forge +pandas 2.1.0 py311h320fe9a_0 conda-forge +pip 23.3.1 pyhd8ed1ab_0 conda-forge +pympler 1.0.1 pypi_0 pypi +python 3.11.6 hab00c5b_0_cpython conda-forge +python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge +python-tzdata 2023.3 pyhd8ed1ab_0 conda-forge +python_abi 3.11 4_cp311 conda-forge +pytz 2023.3.post1 pyhd8ed1ab_0 conda-forge +readline 8.2 h8228510_1 conda-forge +scikit-learn 1.4.dev0 pypi_0 pypi +scipy 1.11.2 py311h64a7726_1 conda-forge +setuptools 68.2.2 pyhd8ed1ab_0 conda-forge +six 1.16.0 pyh6c4a22f_0 conda-forge +threadpoolctl 3.2.0 pyha21a80b_0 conda-forge +tk 8.6.13 noxft_h4845f30_101 conda-forge +tzdata 2023c h71feb2d_0 conda-forge +wheel 0.41.3 pyhd8ed1ab_0 conda-forge +xz 5.2.6 h166bdaf_0 conda-forge + + +***** Threadpool info ***** + +[ + { + "user_api": "blas", + "internal_api": "openblas", + "num_threads": 8, + "prefix": "libopenblas", + "filepath": "/home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/libopenblasp-r0.3.25.so", + "version": "0.3.25", + "threading_layer": "pthreads", + "architecture": "Haswell" + }, + { + "user_api": "openmp", + "internal_api": "openmp", + "num_threads": 8, + "prefix": "libgomp", + "filepath": "/home/ubuntu/scikit-learn/asv_benchmarks/env/f6ff9b5b333fe13b488feffb65c69a2e/lib/libgomp.so.1.0.0", + "version": null + } +] + + +***** System info ***** + +Architecture: x86_64 +CPU op-mode(s): 32-bit, 64-bit +Address sizes: 46 bits physical, 48 bits virtual +Byte Order: Little Endian +CPU(s): 8 +On-line CPU(s) list: 0-7 +Vendor ID: GenuineIntel +Model name: Intel Core Processor (Haswell, no TSX) +CPU family: 6 +Model: 60 +Thread(s) per core: 1 +Core(s) per socket: 1 +Socket(s): 8 +Stepping: 1 +BogoMIPS: 4589.35 +Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single pti fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt arat +Hypervisor vendor: KVM +Virtualization type: full +L1d cache: 256 KiB (8 instances) +L1i cache: 256 KiB (8 instances) +L2 cache: 32 MiB (8 instances) +NUMA node(s): 1 +NUMA node0 CPU(s): 0-7 +Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported +Vulnerability L1tf: Mitigation; PTE Inversion +Vulnerability Mds: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown +Vulnerability Meltdown: Mitigation; PTI +Vulnerability Mmio stale data: Unknown: No mitigations +Vulnerability Retbleed: Not affected +Vulnerability Spec store bypass: Vulnerable +Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization +Vulnerability Spectre v2: Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected +Vulnerability Srbds: Unknown: Dependent on hypervisor status +Vulnerability Tsx async abort: Not affected +MemTotal: 16384572 kB diff --git a/results/sklearn-benchmark/94f0d6aa-conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0.json b/results/sklearn-benchmark/94f0d6aa-conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0.json new file mode 100644 index 0000000000..108cb56796 --- /dev/null +++ b/results/sklearn-benchmark/94f0d6aa-conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0.json @@ -0,0 +1 @@ +{"commit_hash": "94f0d6aa7b2d3bdc3d60507daca9b83c7e8b7633", "env_name": "conda-py3.11-cython3.0.3-joblib1.3.2-numpy1.25.2-pandas2.1.0-scipy1.11.2-threadpoolctl3.2.0", "date": 1700921198000, "params": {"arch": "x86_64", "cpu": "Intel Core Processor (Haswell, no TSX)", "machine": "sklearn-benchmark", "num_cpu": "8", "os": "Linux 4.15.0-20-generic", "ram": "16424684", "python": "3.11", "numpy": "1.25.2", "scipy": "1.11.2", "cython": "3.0.3", "joblib": "1.3.2", "threadpoolctl": "3.2.0", "pandas": "2.1.0"}, "python": "3.11", "requirements": {"numpy": "1.25.2", "scipy": "1.11.2", "cython": "3.0.3", "joblib": "1.3.2", "threadpoolctl": "3.2.0", "pandas": "2.1.0"}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"cluster.KMeansBenchmark.peakmem_fit": [[103735296, 114376704, 137773056, 138375168, 255070208, 255209472, 261701632, 260972544], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "a9d893de2d92e56e4dbeab4d7b7b4d5e00add3f4e993b164664b7ebbdd036dc7", 1700947343631, 24.183], "cluster.KMeansBenchmark.peakmem_predict": [[90828800, 90906624, 90914816, 90652672, 98156544, 98156544, 98156544, 98156544], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "0f7d945338d774baae43a82dff7fe9f0db16ff6d1481b5afd437048b544396fc", 1700947367816, 1.2265], "cluster.KMeansBenchmark.peakmem_transform": [[121266176, 121266176, 121278464, 121266176, 125243392, 125243392, 125243392, 125243392], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "576d76cb6e3aa82315e3d3dc6a2e8b7e58cb38bdd510df6801ab645465f4eb70", 1700947369044, 27.664], "cluster.KMeansBenchmark.time_fit": [[0.39965896349997365, 1.277331985500041, 2.2132647569999335, 2.1770445890000474, 1.8489141079999172, 4.496070051000061, 3.5133132265000313, 5.149173712999982], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "a8dbf56b4b6365cb1e3c23b71c7df95ae011632c95124496f8fd1c30430154ec", 1700947396709, 254.79, [0.39669, 1.2761, 2.1971, 2.1143, 1.8237, 4.3532, 3.409, 5.024], [0.40251, 1.279, 2.2357, 2.195, 2.0823, 4.6601, 3.5424, 5.2712], [0.39567, 1.2763, 2.2074, 2.1411, 1.8312, 4.4684, 3.4719, 5.0928], [0.40397, 1.2788, 2.2315, 2.1835, 1.928, 4.5524, 3.5394, 5.183], [1, 1, 1, 1, 1, 1, 1, 1], [72, 24, 13, 14, 15, 6, 8, 5]], "cluster.KMeansBenchmark.time_predict": [[0.006570364500021242, 0.0051944400000252244, 0.005250093250026566, 0.008130908499992984, 0.027070358999935706, 0.016421625000020867, 0.026977086000101735, 0.027001246999930117], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "611589f0c08131355c37720106ea132a2653a100660cd34884455259325b9c83", 1700947651499, 27.434, [0.0061648, 0.0050629, 0.0050874, 0.008006, 0.01697, 0.014878, 0.016448, 0.016611], [0.0080914, 0.0052801, 0.0052942, 0.0083641, 0.028252, 0.027015, 0.027174, 0.027213], [0.0061056, 0.0050129, 0.0050411, 0.006533, 0.016687, 0.014517, 0.014621, 0.015125], [0.0081349, 0.0053365, 0.0053404, 0.0088643, 0.028711, 0.027281, 0.027614, 0.027384], [2, 2, 2, 2, 1, 1, 1, 1], [100, 100, 100, 100, 100, 100, 100, 100]], "cluster.KMeansBenchmark.time_transform": [[0.1058630134999703, 0.10589820999996391, 0.10601117500004875, 0.10599631800005227, 3.7877509719999125, 3.8060396860000765, 3.39061503500011, 3.80129366999995], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "8a02da09ca430e84b11161256032a2d4c08df103e4626718278e8b69b90acb0c", 1700947678936, 177.22, [0.1058, 0.10576, 0.10584, 0.10584, 2.0487, 2.0289, 2.2314, 1.9882], [0.10596, 0.10599, 0.10619, 0.10611, 7.8006, 7.8439, 6.3845, 7.9062], [0.10563, 0.10558, 0.10561, 0.10577, 3.7798, 3.7583, 3.3764, 3.7485], [0.10621, 0.10613, 0.10632, 0.10626, 6.5994, 6.5756, 5.4694, 6.6898], [1, 1, 1, 1, 1, 1, 1, 1], [100, 100, 100, 100, 5, 5, 6, 5]], "cluster.KMeansBenchmark.track_test_score": [[-4.1098856925964355, -3.0753684043884277, -4.1098856925964355, -3.0753684043884277, -0.9266619682312012, -0.9249227643013, -0.9266619682312012, -0.9249262809753418], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "67ff12752edbc7e4055ec0bddc293f22d59aec0eaa675c166f502a008bc22c59", 1700947856157, 5.4873], "cluster.KMeansBenchmark.track_train_score": [[-4.1075520515441895, -3.0780563354492188, -4.1075520515441895, -3.0780560970306396, -0.9227071404457092, -0.922096312046051, -0.9227071404457092, -0.9221000075340271], [["'dense'", "'sparse'"], ["'lloyd'", "'elkan'"], ["'random'", "'k-means++'"]], "a5e07140ef3dd16920358a4c08c2f9f81d0e21f40bf5d8990b8a37b6a07c64e9", 1700947861645, 29.557], "cluster.MiniBatchKMeansBenchmark.peakmem_fit": [[91885568, 92594176, 174522368, 176320512], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "42f5ccf79079b60ff9fa8b0220a6b1fb951f46d27574d343f6e6b4b69dd8f1f0", 1700947898874, 4.6487], "cluster.MiniBatchKMeansBenchmark.peakmem_predict": [[88805376, 88805376, 104042496, 104042496], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "03ee5b059682250c4b3d0793edf5a4978efb06c760148550f068e82dcb71e75f", 1700947903524, 0.58249], "cluster.MiniBatchKMeansBenchmark.peakmem_transform": [[119619584, 119619584, 124403712, 124407808], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "f844a68fb0292b177c459487189f905d1afb89d79ab35a0539f9f4217b445ff2", 1700947904107, 16.039], "cluster.MiniBatchKMeansBenchmark.time_fit": [[0.4827693959999806, 0.5056862239999873, 0.6189501759999985, 1.7248967839998386], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "40617ec6fdd94e3a650dba98f8204c9779e63ae7803343b23e7368f7b068f26e", 1700947920147, 125.36, [0.47047, 0.49436, 0.61656, 1.7033], [0.48943, 0.52119, 0.62086, 1.7429], [0.46641, 0.49136, 0.61605, 1.7093], [0.49264, 0.52607, 0.62265, 1.7338], [1, 1, 1, 1], [62, 58, 46, 17]], "cluster.MiniBatchKMeansBenchmark.time_predict": [[0.00540931124993449, 0.005223579500068354, 0.03665133449999303, 0.024041869000029692], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "561b80fa4780c86ee698a0efd05c5d6c1bce24014006c5ec9096c2f3a960b9fe", 1700948045509, 15.171, [0.0053539, 0.0051849, 0.034989, 0.019832], [0.0054791, 0.0053339, 0.036881, 0.034131], [0.0051128, 0.0051532, 0.034143, 0.017542], [0.0055165, 0.0053829, 0.037187, 0.036249], [2, 2, 1, 1], [100, 100, 100, 100]], "cluster.MiniBatchKMeansBenchmark.time_transform": [[0.08846949750000022, 0.08838431450010376, 7.598521870999889, 7.565536478000013], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "2cf7a764c9fa1511ff1e1dee921060dc33eb0608e1cee96b782dc7b5d3f91f89", 1700948060680, 96.966, [0.088354, 0.088259, 7.3287, 7.2704], [0.088649, 0.0886, 7.8376, 7.806], [0.088137, 0.088106, 7.5467, 7.4978], [0.088943, 0.08894, 7.635, 7.6059], [1, 1, 1, 1], [100, 100, 4, 4]], "cluster.MiniBatchKMeansBenchmark.track_test_score": [[-4.596621036529541, -3.1085314750671387, -0.9366871118545532, -0.9386959075927734], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "7aeb8a20f66080e18e15f92e245fd1dd8de235e2f53d355596424dc7c30ae295", 1700948157648, 3.0408], "cluster.MiniBatchKMeansBenchmark.track_train_score": [[-4.584851264953613, -3.115997314453125, -0.9323447346687317, -0.934399425983429], [["'dense'", "'sparse'"], ["'random'", "'k-means++'"]], "b0c324767051682ea0bfc17c991f3de50e4876d683b1167c11ae8d4f2349b9c9", 1700948160690, 24.148], "decomposition.DictionaryLearningBenchmark.peakmem_fit": [[109834240, 131010560, 104013824, 131002368], [["'lars'", "'cd'"], ["1", "4"]], "8c3205268eade479bfda221734bf6129ab2a7b2bf4c59a8e6e855469f519672a", 1700948221390, 35.754], "decomposition.DictionaryLearningBenchmark.peakmem_transform": [[85684224, 87953408, 85684224, 87945216], [["'lars'", "'cd'"], ["1", "4"]], "b2c047a9e4d9d9cc6dd2d41a3738c21c183facbf5d609e8bfb354499f0b38ee4", 1700948257145, 3.3694], "decomposition.DictionaryLearningBenchmark.time_fit": [[18.05350949500007, 10.598406717999751, 0.7332940669998607, 3.2798019219999333], [["'lars'", "'cd'"], ["1", "4"]], "9f6c61216a35b8b5a205dbce3e4f541613c2e1df4cda9f85b16a7a41a02a9e02", 1700948260515, 178.23, [13.846, 9.1565, 0.72247, 2.8815], [21.363, 11.96, 0.7389, 3.4285], [17.334, 10.416, 0.71952, 3.2157], [18.1, 10.721, 0.73942, 3.332], [1, 1, 1, 1], [3, 3, 41, 9]], "decomposition.DictionaryLearningBenchmark.time_transform": [[0.2503768525000396, 0.2987901999999849, 0.23847987600015585, 0.29337669699998514], [["'lars'", "'cd'"], ["1", "4"]], "a9786d7edfa47d44fb49632ba092edb63068a33298968990f071b58ad312e45a", 1700948438744, 114.83, [0.24949, 0.29041, 0.23764, 0.2914], [0.251, 0.30129, 0.24027, 0.30171], [0.24702, 0.28252, 0.23726, 0.28258], [0.25168, 0.30975, 0.24335, 0.30296], [1, 1, 1, 1], [100, 99, 100, 99]], "decomposition.DictionaryLearningBenchmark.track_test_score": [[-0.07475553452968597, -0.07475553452713135, -0.07475554198026657, -0.07475553814463735], [["'lars'", "'cd'"], ["1", "4"]], "022cecb50e5ba330d0728d08afbca34a130f0e74529bce6c8c93aca80a4bcae5", 1700948553580, 2.491], "decomposition.DictionaryLearningBenchmark.track_train_score": [[-0.07231885939836502, -0.07231886142463793, -0.07231885939836502, -0.07231886151447059], [["'lars'", "'cd'"], ["1", "4"]], "6ed8ae7b04c1c5b4be0a5847795321be4c50195958c72642e1ca9367d838649d", 1700948556072, 3.9603], "decomposition.MiniBatchDictionaryLearningBenchmark.peakmem_fit": [[98406400, 102547456, 98467840, 102162432], [["'lars'", "'cd'"], ["1", "4"]], "cf54cbec149e048235b388e434462754421fc5f8593697b431e17bd01f79cbe1", 1700948569023, 9.5951], "decomposition.MiniBatchDictionaryLearningBenchmark.peakmem_transform": [[86712320, 88788992, 86716416, 88776704], [["'lars'", "'cd'"], ["1", "4"]], "c9e62449ea399590080c790df85e63df815e88ceaa029196f9ea925d3acfecd7", 1700948578618, 3.5516], "decomposition.MiniBatchDictionaryLearningBenchmark.time_fit": [[1.2571981109999797, 1.960046152499899, 0.38781205499981297, 2.1176524620000237], [["'lars'", "'cd'"], ["1", "4"]], "48d290a4fd2b0a9ecdd1a7add3b7e7b231d8df63e32889758ec0bbd8c1cb37ef", 1700948582171, 127.26, [1.2559, 1.9197, 0.3876, 1.7526], [1.2588, 2.0945, 0.38793, 2.4483], [1.2561, 1.9269, 0.38746, 1.8995], [1.2587, 2.0019, 0.3881, 2.2858], [1, 1, 1, 1], [23, 14, 77, 14]], "decomposition.MiniBatchDictionaryLearningBenchmark.time_transform": [[0.2403636439996717, 0.2993004550000933, 0.2293453765000777, 0.28426705549986764], [["'lars'", "'cd'"], ["1", "4"]], "3ac7bfb8060c67e6dd13c37f1901d3f4274b8b0edfaf3d6a575d4e20ecbaf45e", 1700948709435, 112.16, [0.23955, 0.29291, 0.2272, 0.27989], [0.24162, 0.31174, 0.23134, 0.29162], [0.2385, 0.28603, 0.22638, 0.27438], [0.2427, 0.3185, 0.23272, 0.30177], [1, 1, 1, 1], [100, 96, 100, 100]], "decomposition.MiniBatchDictionaryLearningBenchmark.track_test_score": [[-0.07748597115278244, -0.07748617679533364, -0.07750026136636734, -0.07749473786188289], [["'lars'", "'cd'"], ["1", "4"]], "a0774d6e8f922842e4b916076deab0ed00f152a84632f732cec174d5d619192f", 1700948821611, 2.3669], "decomposition.MiniBatchDictionaryLearningBenchmark.track_train_score": [[-0.07458314299583435, -0.07458341486459641, -0.07460080087184906, -0.0745965889633329], [["'lars'", "'cd'"], ["1", "4"]], "13436574eaa40a2dd7b58fbef029cd2171941b963cec765dff95a1889f6a157a", 1700948823978, 3.9732], "decomposition.PCABenchmark.peakmem_fit": [[907436032, 605761536, 632852480], [["'full'", "'arpack'", "'randomized'"]], "1dc803fc882e472d9bc70274b900eb03304281cd2dff33ec3e3c039fffbb74a4", 1700948847850, 5.5554], "decomposition.PCABenchmark.peakmem_transform": [[583471104, 583512064, 583282688], [["'full'", "'arpack'", "'randomized'"]], "2b31c7c4510aca17a679729f995ba0b7d6548de119b989f414876912bc7851ff", 1700948853406, 1.3074], "decomposition.PCABenchmark.time_fit": [[2.528933483000401, 1.1184434309998323, 1.1309894304999943], [["'full'", "'arpack'", "'randomized'"]], "4a753451bb0c872008db51c421599cf8badfcb691aab39aaa7822dad561241dc", 1700948854714, 96.986, [2.4657, 1.1118, 1.12], [2.8959, 1.1346, 1.1414], [2.4815, 1.1126, 1.1244], [2.5685, 1.1307, 1.1398], [1, 1, 1], [11, 24, 24]], "decomposition.PCABenchmark.time_transform": [[0.15802455549987826, 0.1590172909998273, 0.15895328900001005], [["'full'", "'arpack'", "'randomized'"]], "1f73bed6685d54963e63f4de9713d472d0ab242d57c6a0cfa54fac7d1e1e83ef", 1700948951701, 89.741, [0.15773, 0.15821, 0.15861], [0.15907, 0.15948, 0.15933], [0.157, 0.15757, 0.15793], [0.16008, 0.15982, 0.16001], [1, 1, 1], [100, 100, 100]], "decomposition.PCABenchmark.track_test_score": [[0.7449418902397156, 0.7449416518211365, 0.7449308037757874], [["'full'", "'arpack'", "'randomized'"]], "2bf9b85b93e81f43bf6e2e900a8ef13fb83b9b9298c32d0808bda654eb57c0c3", 1700949041444, 0.88505], "decomposition.PCABenchmark.track_train_score": [[0.7445708513259888, 0.7445710897445679, 0.7445607781410217], [["'full'", "'arpack'", "'randomized'"]], "16881c7fae4abaa9923123fc258e6542b0b3aa0c232d2db206548668bced23bb", 1700949042329, 0.83478], "ensemble.GradientBoostingClassifierBenchmark.peakmem_fit": [[92028928, 117080064], [["'dense'", "'sparse'"]], "0bed7eba4859779600e1b1cb03539724eddad1419ad1332e897185f93bd3d6df", 1700949057114, 6.3053], "ensemble.GradientBoostingClassifierBenchmark.peakmem_predict": [[89329664, 98955264], [["'dense'", "'sparse'"]], "5f65eed561196ec366996fc83d2258f891bbe9608480b00948108fa794a3c81e", 1700949063420, 0.29138], "ensemble.GradientBoostingClassifierBenchmark.time_fit": [[2.8839598180002213, 2.353539504999844], [["'dense'", "'sparse'"]], "5702f67868717f5884d82ed22b8940f7ff2b626a2b46e2a4b6e1173c83db484f", 1700949063712, 63.374, [2.8343, 2.3242], [3.9054, 2.399], [2.875, 2.3403], [2.9323, 2.361], [1, 1], [9, 12]], "ensemble.GradientBoostingClassifierBenchmark.time_predict": [[0.04422197999997479, 0.04091552699992462], [["'dense'", "'sparse'"]], "17e3a4098ef2254174162a060b1286418984a4be5438aefd71301bf6a8f4c13d", 1700949127087, 13.21, [0.044034, 0.040694], [0.044646, 0.041201], [0.04392, 0.040062], [0.048063, 0.041761], [1, 1], [100, 100]], "ensemble.GradientBoostingClassifierBenchmark.track_test_score": [[0.5505294750107932, 0.10409974329281042], [["'dense'", "'sparse'"]], "55092be1f965aa51752829bda24b944bdb1222a6b8e5fdf0d4026c9580953dea", 1700949140299, 0.098772], "ensemble.GradientBoostingClassifierBenchmark.track_train_score": [[0.6308855973002645, 0.15180008167538628], [["'dense'", "'sparse'"]], "cd78924c15421dcfc8b45a7d26a8b035a1e441c45612ee6ae169b9155e5a631b", 1700949140398, 0.30747], "ensemble.HistGradientBoostingClassifierBenchmark.peakmem_fit": [[104267776], [], "733ac3d039d12bcb9c7f00c745fad3c3723c29f21f67e444aabac276cbc3a916", 1700949144822, 3.0356], "ensemble.HistGradientBoostingClassifierBenchmark.peakmem_predict": [[92491776], [], "ef8fbc52879ef0add38e7cec975a52bd207c7003e688e265dcc4839b0bcaa3a8", 1700949147858, 0.13324], "ensemble.HistGradientBoostingClassifierBenchmark.time_fit": [[2.406329114000073], [], "6840b9adeccbde7fc736aae2aa37f9b118d3fa9a78f2e0b2f0a4f09503e1a48d", 1700949147991, 31.239, [2.3133], [3.075], [2.4008], [2.704], [1], [11]], "ensemble.HistGradientBoostingClassifierBenchmark.time_predict": [[0.08449520599992866], [], "ce65e5d6c62eebe1e73935285f56bc6c7ecebde97fb73fb4b9370c9b5979288a", 1700949179231, 10.122, [0.084066], [0.08487], [0.083754], [0.085734], [1], [100]], "ensemble.HistGradientBoostingClassifierBenchmark.track_test_score": [[0.7230709112942986], [], "8c9a915f4dd669a61ceb38728602e43f84a976ebb06628f8026837eb7a5d30f6", 1700949189353, 0.069471], "ensemble.HistGradientBoostingClassifierBenchmark.track_train_score": [[0.9812160155622751], [], "43f6c225874e5193533ad56bdd398f471c7caa0f0f8c9a8ebb5486e10a2bec7f", 1700949189423, 0.15833], "ensemble.RandomForestClassifierBenchmark.peakmem_fit": [[179118080, 179122176, 403038208, 403279872], [["'dense'", "'sparse'"], ["1", "4"]], "14ca8ab81b54b4f2775c94fd794a13b049f48b9927979b964b90acc22ebf08a8", 1700949218889, 29.684], "ensemble.RandomForestClassifierBenchmark.peakmem_predict": [[182427648, 189030400, 403275776, 403030016], [["'dense'", "'sparse'"], ["1", "4"]], "3febfd0d8977731921e7d366e6a585c8e405c0520f9a94415b96c6c334ed1c2f", 1700949248574, 5.5613], "ensemble.RandomForestClassifierBenchmark.time_fit": [[7.837264154999957, 2.5921286009997857, 11.851109360999999, 4.146312704000138], [["'dense'", "'sparse'"], ["1", "4"]], "7f77f2ea22b57af3ff27a86843c654c08e6aa926896f2c421666fd31d95ce65f", 1700949254136, 151.01, [7.6121, 2.489, 11.24, 3.7254], [8.1233, 2.8537, 12.395, 4.3232], [7.8341, 2.569, 11.764, 3.8344], [7.8861, 2.6955, 11.888, 4.1896], [1, 1, 1, 1], [3, 11, 3, 7]], "ensemble.RandomForestClassifierBenchmark.time_predict": [[0.24457096199989792, 0.1543779139999515, 2.2767089709998345, 0.8034007945000212], [["'dense'", "'sparse'"], ["1", "4"]], "6a93ee4dfb1d21e994eb8d7568e75ee99e0f416c9711bb2b45d1c022a27f0746", 1700949405147, 117.41, [0.241, 0.15383, 2.238, 0.78319], [0.24892, 0.16375, 2.2963, 0.84469], [0.23877, 0.15358, 2.2625, 0.78324], [0.25032, 0.1646, 2.2919, 0.84204], [1, 1, 1, 1], [100, 100, 12, 30]], "ensemble.RandomForestClassifierBenchmark.track_test_score": [[0.7623780232296038, 0.7623780232296038, 0.8656423941766682, 0.8656423941766682], [["'dense'", "'sparse'"], ["1", "4"]], "a3b01d5f39647a3a6d6bfac31a005a5fdc82ad531a1b71f249ae2f4e98dc44c9", 1700949522555, 1.6447], "ensemble.RandomForestClassifierBenchmark.track_train_score": [[0.9972645771657114, 0.9972645771657114, 0.9996123288718864, 0.9996123288718864], [["'dense'", "'sparse'"], ["1", "4"]], "42daa18fec647c7415a78ff56b84cf07b2253222c89f24baf5f12238463b9400", 1700949524201, 5.3732], "linear_model.ElasticNetBenchmark.peakmem_fit": [[853127168, 1209253888, 124252160, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "aeb53df9e9543a762cf297b5697780eafb3cfbf2a7e750ad0f079ea50ff3d051", 1700949561030, 8.1741], "linear_model.ElasticNetBenchmark.peakmem_predict": [[489938944, 489635840, 97099776, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "27f5ef6022a3a4cdd5a0854b9428349a5e461bf638a76337760251639c9d7f02", 1700949569206, 0.75168], "linear_model.ElasticNetBenchmark.time_fit": [[1.4861494069996297, 1.820147366500123, 2.652596368000104, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "02947c3221cd53cf645dab6e61c787646637d66474795a722ec537ff85976c8c", 1700949569959, 95.955, [1.4819, 1.8171, 2.5991, null], [1.4869, 1.8265, 2.7062, null], [1.4842, 1.8184, 2.6288, null], [1.4864, 1.8246, 2.6656, null], [1, 1, 1, null], [17, 14, 11, null]], "linear_model.ElasticNetBenchmark.time_predict": [[0.04995354849984324, 0.04684741750020294, 0.0023099223999906828, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "4140a00f540d4dea5268a3813730d6fbb270e40b74285dbf046b3e26069f1287", 1700949665915, 64.307, [0.049896, 0.046785, 0.0022958, null], [0.05, 0.047012, 0.0023296, null], [0.049248, 0.046742, 0.0022911, null], [0.0506, 0.047267, 0.002379, null], [1, 1, 5, null], [100, 100, 100, null]], "linear_model.ElasticNetBenchmark.track_test_score": [[0.9274010856209145, 0.9274010850953214, 0.9499090670921247, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "1c0c2170cd23de65b973498cfc8dff584d9983a7513d2ead27d49594b092a280", 1700949730224, 1.1445], "linear_model.ElasticNetBenchmark.track_train_score": [[0.9276022550495941, 0.9276022552325599, 0.9562934741677929, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "6cff911c1163f327c86117f3dc306d62cdba87d9ea8068cc68977b61d151da78", 1700949731369, 1.3703], "linear_model.LassoBenchmark.peakmem_fit": [[853209088, 1209262080, 124276736, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "8fa5824a898ff683065f60683a1805ae55dfdde209f22eb520e3dddac3b02688", 1700949740490, 7.9071], "linear_model.LassoBenchmark.peakmem_predict": [[489996288, 489873408, 97103872, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "2fd8dcd052ba7edddc85213c847b8fd149f36b0b9c0b058b88adae232e1fe0c6", 1700949748399, 1.2637], "linear_model.LassoBenchmark.time_fit": [[1.5066479284998877, 1.8478925880001498, 2.4845146180000484, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "d0f2ce5dce5564f0fc096b1e4ee47c583962a62baf6a13edf150b4edaf353e05", 1700949749664, 97.492, [1.4994, 1.8403, 2.403, null], [1.7993, 1.9205, 2.5021, null], [1.5012, 1.8465, 2.4256, null], [1.6149, 1.8502, 2.4944, null], [1, 1, 1, null], [16, 14, 12, null]], "linear_model.LassoBenchmark.time_predict": [[0.05394485400006488, 0.05193396100003156, 0.0031002566667363376, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "9adfa14dab87a3a8a4de49d179ab5891f08045e1b81194ae39643622cb6487c9", 1700949847157, 64.373, [0.053822, 0.05167, 0.0030896, null], [0.054048, 0.052018, 0.0031052, null], [0.052413, 0.050558, 0.002546, null], [0.054163, 0.052075, 0.0031099, null], [1, 1, 3, null], [100, 100, 100, null]], "linear_model.LassoBenchmark.track_test_score": [[0.9274015024583205, 0.9274015028138817, 0.9486443136749665, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "b56564a7b1756eeff8bbe981fa28bfb58f992c09069c2672ae87e637ba91f565", 1700949911532, 0.85664], "linear_model.LassoBenchmark.track_train_score": [[0.92760249197518, 0.9276024919395177, 0.953812246720767, NaN], [["'dense'", "'sparse'"], ["True", "False"]], "97c0e5ecdddd2ee7c31046ec01b6d29119975ffd6774712a778a26f8499350c4", 1700949912390, 1.1601], "linear_model.LinearRegressionBenchmark.peakmem_fit": [[1215479808, 236548096], [["'dense'", "'sparse'"]], "a905fac8878f96b0ccc05296ca1cbb10654937aa04579453c79a4255ec7865f1", 1700949996566, 5.4659], "linear_model.LinearRegressionBenchmark.peakmem_predict": [[490057728, 156733440], [["'dense'", "'sparse'"]], "759535a8913b60467ef240fed4181399ff149efa33bea0eb69eed231df3f8876", 1700950002033, 0.70762], "linear_model.LinearRegressionBenchmark.time_fit": [[3.1433171529997708, 1.1307059610001033], [["'dense'", "'sparse'"]], "e5dbbebbcad57689afbefadad2fb87cb71161a32a9d6caa162975a5b419f0f97", 1700950002741, 66.238, [3.1065, 1.1282], [3.1837, 1.1314], [3.1353, 1.1283], [3.1633, 1.1314], [1, 1], [9, 26]], "linear_model.LinearRegressionBenchmark.time_predict": [[0.05397483900014777, 0.033597875500163354], [["'dense'", "'sparse'"]], "ba279c28dffebbb04b7b173dee9e976b48b05ffbada322dd53d9a2de22ff70f6", 1700950068981, 40.514, [0.053883, 0.033504], [0.054028, 0.033699], [0.0538, 0.033472], [0.054135, 0.034034], [1, 1], [100, 100]], "linear_model.LinearRegressionBenchmark.track_test_score": [[0.9274012651798128, 0.10001233838608736], [["'dense'", "'sparse'"]], "0641fe07389de5e5b9811f51f186e4a4a96a856eb50c8810c62734a593513594", 1700950109496, 0.65577], "linear_model.LinearRegressionBenchmark.track_train_score": [[0.927602494829764, 0.9999999999962653], [["'dense'", "'sparse'"]], "5853e8435e7eba58f2264852c35444debdedaa05b29cccd9fef895ce848a5f06", 1700950110152, 0.73274], "linear_model.LogisticRegressionBenchmark.peakmem_fit": [[105648128, 99422208, 83906560, 85110784, 381755392, 125513728, 104321024, 105119744], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "3b211361ab927e53d5697c6b9e81013a7575a9ce103d21adeb68544ea7a4e5dc", 1700950142657, 29.359], "linear_model.LogisticRegressionBenchmark.peakmem_predict": [[99528704, 99569664, 86409216, 86626304, 100847616, 100859904, 88395776, 88371200], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "be6101aa74d4f94ec846334788b859094ed4b1d36ca92bf7d693b3043a8d39da", 1700950172017, 0.49526], "linear_model.LogisticRegressionBenchmark.time_fit": [[0.02197157549971962, 0.18950685600020734, 5.731688899999426, 5.213542694999887, 1.026669369499814, 2.971321531000285, 3.6374022690001766, 3.6696931360002054], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "7cd42b119dd9bf6c8bf33ee70890f7ebaf0b159e0c0c8cd5b299c3f632725f21", 1700950172514, 234.77, [0.021272, 0.18869, 5.5438, 3.7915, 1.0079, 2.7392, 3.6107, 3.4047], [0.022257, 0.1905, 6.0283, 7.1891, 1.0363, 3.3104, 3.657, 4.6138], [0.020415, 0.1804, 5.714, 4.7032, 1.0089, 2.9182, 3.6277, 3.6597], [0.024015, 0.19111, 5.7771, 5.7309, 1.0336, 3.213, 3.6472, 4.0814], [1, 1, 1, 1, 1, 1, 1, 1], [100, 76, 5, 5, 28, 10, 8, 7]], "linear_model.LogisticRegressionBenchmark.time_predict": [[0.003654769999987669, 0.003164506625012109, 0.0018841560000358488, 0.0019457933333342226, 0.0077202092497827834, 0.007582521999893288, 0.005147541666550145, 0.0051442441666343566], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "b9dd34b6a7b894f6afbd6e27f4d0cfe829c1b0e4af4f7203e56269b873ee049b", 1700950407286, 21.499, [0.0036358, 0.0031412, 0.0018767, 0.001937, 0.0076122, 0.0075494, 0.0051432, 0.0050798], [0.0038219, 0.0031931, 0.0019104, 0.00196, 0.0077934, 0.0076919, 0.0051635, 0.0051529], [0.0036138, 0.0030989, 0.0018687, 0.0019268, 0.0075647, 0.0075236, 0.0051376, 0.0050471], [0.0038649, 0.003215, 0.0019178, 0.0019707, 0.0086234, 0.0077292, 0.0051692, 0.0051626], [3, 4, 6, 6, 2, 2, 3, 3], [100, 100, 100, 100, 100, 100, 100, 100]], "linear_model.LogisticRegressionBenchmark.track_test_score": [[0.17357358122266314, 0.17357358122266314, 0.7718629403289631, 0.7718629403289631, 0.06538461538461539, 0.06538461538461539, 0.5765140080078162, 0.5765140080078162], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "37e537f82f54da1d89003018c8370da6ac290d672b6343a457ee49dd444e3c9f", 1700950428788, 0.33854], "linear_model.LogisticRegressionBenchmark.track_train_score": [[0.17957473199153934, 0.17957473199153934, 0.7983150836303906, 0.7983150836303906, 0.0681998556998557, 0.0681998556998557, 0.6908414295256007, 0.6908414295256007], [["'dense'", "'sparse'"], ["'lbfgs'", "'saga'"], ["1", "4"]], "5647f2df8db098461a973d60cb900515f403287ed3e109a99151c94309e568f1", 1700950429128, 0.63731], "linear_model.RidgeBenchmark.peakmem_fit": [[464089088, 825774080, 464093184, 472821760, 467365888, 472813568, 472813568, 193028096, NaN, 1271123968, 194068480, 193028096, 158220288, 158220288], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "d06a93be5cf39a0df663d696943713376c4ba4abb2568ebc0bc97fd2a2fd5173", 1700950566914, 59.868], "linear_model.RidgeBenchmark.peakmem_predict": [[283238400, 283226112, 283299840, 283230208, 283238400, 283168768, 283234304, 119926784, NaN, 119926784, 119795712, 118112256, 119926784, 119775232], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "24e4dc55ce8e6b9311d26ca2936364cad3ddb0b8827b656a81886db508e69866", 1700950626784, 2.8135], "linear_model.RidgeBenchmark.time_fit": [[0.2092695969995475, 1.6811512865001532, 0.20970964349999122, 0.22468634500000917, 0.2701572519995352, 28.174599459999627, 12.463922456000546, 0.15725951250033177, NaN, 5.758408349000092, 0.14727437400006238, 0.16610622049984158, 2.840928018500108, 2.1324306739998065], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "6ebbadd5cfeeb543e69ca73d777ab88bff49391965e0c0e3270868f1fa6bb385", 1700950629599, 485.98, [0.20839, 1.6574, 0.20855, 0.22104, 0.2589, 25.073, 12.29, 0.15647, null, 5.0575, 0.14686, 0.16569, 2.7898, 2.1093], [0.21013, 1.7264, 0.2105, 0.22964, 0.27215, 31.323, 12.671, 0.15915, null, 6.8836, 0.14765, 0.16646, 2.9146, 2.1642], [0.20763, 1.6601, 0.20795, 0.2196, 0.25687, 27.852, 12.456, 0.15614, null, 5.687, 0.14624, 0.16532, 2.8187, 2.1224], [0.21114, 1.6993, 0.21086, 0.23959, 0.27466, 28.533, 12.496, 0.16119, null, 5.9793, 0.14825, 0.16741, 2.8674, 2.1463], [1, 1, 1, 1, 1, 1, 1, 1, null, 1, 1, 1, 1, 1], [92, 16, 92, 75, 76, 3, 3, 100, null, 5, 100, 100, 10, 14]], "linear_model.RidgeBenchmark.time_predict": [[0.02395435600010387, 0.025376077999681, 0.02537656199956473, 0.025361795500430162, 0.025378402499882213, 0.025385505500253203, 0.025194350999754533, 0.007761941250009841, NaN, 0.007758518750051735, 0.007759566500226356, 0.007770243250206477, 0.00783629174975431, 0.007803394500115246], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "f41e9813a5f8239fbb0ef5e81982549e297ff18f751b7e4b42982972851b7cd0", 1700951115584, 136.68, [0.023915, 0.025317, 0.025331, 0.025314, 0.025314, 0.025356, 0.025131, 0.00775, null, 0.0077349, 0.0077414, 0.0077419, 0.0077967, 0.0077894], [0.02409, 0.025475, 0.025435, 0.025396, 0.025484, 0.025415, 0.025527, 0.0077844, null, 0.0077791, 0.0077811, 0.0077782, 0.0090216, 0.0078634], [0.023872, 0.025282, 0.025308, 0.025295, 0.025271, 0.02532, 0.025104, 0.0077257, null, 0.0077234, 0.0077239, 0.0077151, 0.0077763, 0.0077718], [0.025298, 0.025769, 0.025479, 0.025579, 0.025627, 0.025452, 0.025747, 0.0078071, null, 0.0077954, 0.007805, 0.007794, 0.0091559, 0.009024], [1, 1, 1, 1, 1, 1, 1, 2, null, 2, 2, 2, 2, 2], [100, 100, 100, 100, 100, 100, 100, 100, null, 100, 100, 100, 100, 100]], "linear_model.RidgeBenchmark.track_test_score": [[0.943399575027382, 0.9433995638980545, 0.943399575027382, 0.9433995757192792, 0.9433995989989826, 0.94339933719428, 0.9433995886080997, 0.9564195326176984, NaN, 0.9564193554508366, 0.956419531844108, 0.9564195326176984, 0.9564217030169909, 0.9564213253249132], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "663c821271fbdb18d0252832535191137787f37ad6d6397624c92edd96dc6f3f", 1700951252267, 1.8382], "linear_model.RidgeBenchmark.track_train_score": [[0.9444001571921127, 0.9444001571502235, 0.9444001571921127, 0.9444001572131616, 0.9444001571192623, 0.9444001419121766, 0.9444001543688754, 0.9657811619688411, NaN, 0.9657811647920158, 0.9657811614211581, 0.9657811619688411, 0.965777609550829, 0.9657775749091478], [["'dense'", "'sparse'"], ["'auto'", "'svd'", "'cholesky'", "'lsqr'", "'sparse_cg'", "'sag'", "'saga'"]], "92bfe13d8da10b255d1c72982a3a88f70985b864b39584e51a184ea88116f35d", 1700951254107, 2.8865], "linear_model.SGDRegressorBenchmark.peakmem_fit": [[160120832, 88256512], [["'dense'", "'sparse'"]], "d81ea5fe5efd3e1ec085f0a2c66d712cfec7e2c4e03b19b7a50ab79dfd661f77", 1700951276658, 11.97], "linear_model.SGDRegressorBenchmark.peakmem_predict": [[158973952, 86802432], [["'dense'", "'sparse'"]], "cf12939ffeb2f97f86ada7e454920a994d254a98a02eac5e34ea687f8ec11ad0", 1700951288630, 0.14096], "linear_model.SGDRegressorBenchmark.time_fit": [[5.8807758169996305, 4.817005938499733], [["'dense'", "'sparse'"]], "cc477ee1fcfc2e853f5113072b49c7dc80acf8f2e19f83518368e1efe8dd5374", 1700951288771, 70.808, [5.651, 4.7636], [6.3703, 4.9007], [5.874, 4.7943], [5.94, 4.8463], [1, 1], [5, 6]], "linear_model.SGDRegressorBenchmark.time_predict": [[0.010338090499772079, 0.002151741800025775], [["'dense'", "'sparse'"]], "fcd01e3604428cf2063cbbfe4e708974618533d55ec0784a787b8bb838a2ece9", 1700951359580, 9.5164, [0.010278, 0.0021481], [0.010416, 0.0021594], [0.010241, 0.0021434], [0.011968, 0.0021677], [1, 5], [100, 100]], "linear_model.SGDRegressorBenchmark.track_test_score": [[0.9636293915848902, 0.9621528931673515], [["'dense'", "'sparse'"]], "5c184c0b957ec177b911999a0cc2cd3996407b726efe5d7adeaeddea222a16d0", 1700951369098, 0.18319], "linear_model.SGDRegressorBenchmark.track_train_score": [[0.9641785427097553, 0.961614211897375], [["'dense'", "'sparse'"]], "84040f29c546fcb4fb3fed1db35c198a88607a920f0d1aad43ae542738470257", 1700951369282, 0.23509], "manifold.TSNEBenchmark.peakmem_fit": [[89665536, 97976320], [["'exact'", "'barnes_hut'"]], "5b07ad9c3bf4af00ff4022361ced135ee0591fe9a613dddb484f0142685497c4", 1700951381458, 10.595], "manifold.TSNEBenchmark.time_fit": [[6.401197722500456, 3.190089538000393], [["'exact'", "'barnes_hut'"]], "d7906ea0d1e8bee6103afdb924f0c5471c1c3e392feb7dbcc411b9e3f3535e6a", 1700951392054, 65.797, [6.3509, 3.0505], [6.4484, 4.0993], [6.3863, 3.0878], [6.4146, 3.2193], [1, 1], [4, 9]], "manifold.TSNEBenchmark.track_test_score": [[0.3218818006120378, 0.7243015766143799], [["'exact'", "'barnes_hut'"]], "7c865f9e53f16c8492cb36db3b656646d6585227ebfbf097102fda1e83f5e953", 1700951457851, 0.051146], "manifold.TSNEBenchmark.track_train_score": [[0.3218818006120378, 0.7243015766143799], [["'exact'", "'barnes_hut'"]], "92a5fc587f972e63dad98657097b1bcd64a743dfce5f07b3e1847ed8b720d46d", 1700951457903, 0.03326], "metrics.PairwiseDistancesBenchmark.peakmem_pairwise_distances": [[669319168, 788033536, 751915008, 1105436672, 254980096, 338595840, 247869440, 485273600, 1420333056, 1394446336, 570122240, 948408320, 187269120, 223399936, NaN, NaN], [["'dense'", "'sparse'"], ["'cosine'", "'euclidean'", "'manhattan'", "'correlation'"], ["1", "4"]], "f982061fc53163362f863b2455a1f2f660861c4a4357be712dcacab0682833db", 1700951457936, 42.059], "metrics.PairwiseDistancesBenchmark.time_pairwise_distances": [[1.1152469920007206, 1.2564922419996947, 1.7352652339995984, 2.990824406000229, 7.294155844499528, 2.61892287900082, 3.737438369499614, 2.184060299000521, 4.163357071999599, 2.5778247669995835, 2.81626522400029, 2.11848329950044, 1.2295162039999923, 1.3087954689999606, NaN, NaN], [["'dense'", "'sparse'"], ["'cosine'", "'euclidean'", "'manhattan'", "'correlation'"], ["1", "4"]], "968c4646f4f823e76e062ccbbe50249793691ae13e472124d1ebd2642c86b5e0", 1700951499997, 457.81, [1.1085, 1.208, 1.7292, 2.9195, 7.0845, 2.5238, 3.6725, 1.8155, 4.143, 2.1832, 2.7549, 1.7998, 1.2162, 1.2855, null, null], [1.1212, 1.3285, 1.76, 3.1401, 7.517, 3.0896, 3.7995, 2.7724, 4.1736, 2.7047, 2.8341, 2.4454, 1.2544, 1.33, null, null], [1.1089, 1.2219, 1.7294, 2.9475, 7.2548, 2.5846, 3.7072, 2.0279, 4.1567, 2.5475, 2.804, 1.9516, 1.2164, 1.2905, null, null], [1.1208, 1.2968, 1.7459, 3.1274, 7.3402, 2.6843, 3.7506, 2.6803, 4.1673, 2.653, 2.8212, 2.2549, 1.2519, 1.3225, null, null], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, null, null], [26, 23, 17, 10, 4, 11, 8, 13, 7, 11, 10, 14, 24, 23, null, null]], "model_selection.CrossValidationBenchmark.peakmem_crossval": [[218456064, 118784000], [["1", "4"]], "4b6fc20c55d0bbbf2b9b56117a6725d0351eec991f183d04b136f1ce4552e0c7", 1700951957811, 75.145], "model_selection.CrossValidationBenchmark.time_crossval": [[56.17177899499984, 16.89725634700062], [["1", "4"]], "9959454181a0ddb22a0ce5727c352955d47bf0ce97d2189ff73d567981c64587", 1700952032956, 299.24, [56.009, 13.989], [56.331, 20.515], [56.153, 16.826], [56.188, 17.501], [1, 1], [3, 3]], "model_selection.CrossValidationBenchmark.track_crossval": [[0.9001555555555555, 0.9001555555555555], [["1", "4"]], "5e7e6b0e0116bbc68953414ce4e0eec203cc51c80a71d897dd599172b82aeedd", 1700952332196, 79.837], "model_selection.GridSearchBenchmark.peakmem_fit": [[96215040, 93614080], [["1", "4"]], "95b48fd99a9327cc7b96fbaf3fb68de0488e277098c5f71aa31f5bcc0af0aa35", 1700952875185, 488.09], "model_selection.GridSearchBenchmark.peakmem_predict": [[88375296, 88371200], [["1", "4"]], "c892cd859a96073eba53d60e549a73d8202c9d0e97f5469f5e0333d949ce8dce", 1700953363272, 0.38088], "model_selection.GridSearchBenchmark.time_fit": [[350.2086916719991, 101.88244862800093], [["1", "4"]], "ce048ba169bd01fc98abe0f363fcaafc41dfc6d88ae4658795602e37fd0bd003", 1700953363654, 1824.1, [295.59, 95.491], [413.83, 107.02], [347.28, 100.82], [359.89, 102.01], [1, 1], [3, 3]], "model_selection.GridSearchBenchmark.time_predict": [[0.07066157600002043, 0.07106456000019534], [["1", "4"]], "acfeae20f02fb4775c69f3a23452a495e43a2abb0e684954a33824913f37e3eb", 1700955187780, 17.77, [0.070624, 0.070993], [0.070743, 0.071175], [0.070582, 0.07092], [0.070811, 0.071263], [1, 1], [100, 100]], "model_selection.GridSearchBenchmark.track_test_score": [[0.8678060899936387, 0.8678060899936387], [["1", "4"]], "ec63718f94ff0beda5889deafa3b1f1f3ff7750bf6254fce002cadda537bee4b", 1700955205551, 0.21276], "model_selection.GridSearchBenchmark.track_train_score": [[0.9966662088870577, 0.9966662088870577], [["1", "4"]], "51575cdf87b95c5096592cecfc1f386cff2b52230b19a7bd6b1afee2fb55910c", 1700955205764, 0.44673], "neighbors.KNeighborsClassifierBenchmark.peakmem_fit": [[77922304, 77901824, 81416192, 81424384, 80285696, 80252928, 88969216, 88969216, 80248832, 80248832, 88748032, 88748032], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "66acb7f2ea52ea49f9a5239c437782b0ac7cd030f150166dff686727e06ae1f5", 1700955215878, 1.1144], "neighbors.KNeighborsClassifierBenchmark.peakmem_predict": [[88748032, 88915968, 93847552, 93507584, 82100224, 84848640, 91742208, 91193344, 81969152, 84774912, 91635712, 91529216], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "e7fb64f5f61911736101d3ca625806937a6bb4fc75b64a8ed0c9be1f37e0f10f", 1700955216995, 51.712], "neighbors.KNeighborsClassifierBenchmark.time_fit": [[0.0014822028571351048, 0.0010449311999764176, 0.0012067358333701526, 0.0012109592221855158, 0.016988806999506778, 0.01712282199969195, 0.05055960499976209, 0.05044960499890294, 0.012329641000178526, 0.009993164499974228, 0.03331392699965363, 0.0333067410001604], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "455e6017e69db76a36673f135b8300f5288867804ae588240ef238340de7bc82", 1700955268708, 41.976, [0.0010601, 0.0010438, 0.0011924, 0.0011969, 0.01698, 0.017114, 0.050472, 0.05042, 0.012323, 0.0087142, 0.033297, 0.033285], [0.0014851, 0.0010457, 0.0012119, 0.0012138, 0.017001, 0.01714, 0.050863, 0.050509, 0.012341, 0.010393, 0.033349, 0.033332], [0.0010462, 0.0010425, 0.0011876, 0.0011907, 0.016969, 0.017102, 0.050423, 0.050371, 0.012315, 0.0086786, 0.033276, 0.03327], [0.0014876, 0.0010474, 0.0012145, 0.0012171, 0.017011, 0.01716, 0.051397, 0.050701, 0.012349, 0.012325, 0.033369, 0.03335], [7, 10, 9, 9, 1, 1, 1, 1, 1, 1, 1, 1], [100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100]], "neighbors.KNeighborsClassifierBenchmark.time_predict": [[0.08877882399974624, 0.08660892249918106, 0.12935774800007493, 0.12519055399934587, 1.412401093999506, 2.8087868870006787, 9.307722128998648, 8.717539162998946, 2.199689020000733, 5.56316870900082, 7.436696624999968, 10.510658479000995], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "6611e4000bd5b1d8935eb7407c10355bf476dfef925640b9a8445912b72c8183", 1700955310689, 332.42, [0.088381, 0.086507, 0.12916, 0.12475, 1.4051, 2.191, 6.2539, 6.215, 2.1745, 5.4386, 7.3515, 7.3511], [0.089293, 0.086771, 0.12967, 0.12684, 1.4191, 2.9322, 13.242, 10.752, 2.4871, 5.8179, 7.5511, 13.499], [0.088332, 0.086373, 0.12888, 0.12448, 1.4058, 2.6806, 9.2863, 8.3058, 2.1775, 5.5603, 7.4266, 10.112], [0.0903, 0.087001, 0.13042, 0.12702, 1.4186, 2.8679, 9.9896, 8.7786, 2.3968, 5.7125, 7.4614, 10.781], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [100, 100, 100, 100, 21, 11, 3, 3, 13, 5, 4, 3]], "neighbors.KNeighborsClassifierBenchmark.track_test_score": [[0.4471293390304359, 0.4471293390304359, 0.6640774556472683, 0.6640774556472683, 0.4471293390304359, 0.4471293390304359, 0.6640774556472683, 0.6640774556472683, 0.4471293390304359, 0.4471293390304359, 0.6640774556472683, 0.6640774556472683], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "95d25638754fb5c021b379d6f4f51868a7303bedb4868e52cac2a036eb0bc248", 1700955643113, 9.879], "neighbors.KNeighborsClassifierBenchmark.track_train_score": [[0.6371904911714082, 0.6371904911714082, 0.790424861683821, 0.790424861683821, 0.6371904911714082, 0.6371904911714082, 0.790424861683821, 0.790424861683821, 0.6371904911714082, 0.6371904911714082, 0.790424861683821, 0.790424861683821], [["'brute'", "'kd_tree'", "'ball_tree'"], ["'low'", "'high'"], ["1", "4"]], "1e1b6891a1563cf0c8ae446c751cfd6dec48cc2fcc4d0157f30a7189f05e938a", 1700955652993, 50.74], "svm.SVCBenchmark.peakmem_fit": [[277434368, 277409792, 277413888, 277417984], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "b5099e172031e9a0f7b7706ec386c5bf36f9bd427f7d47274c66c6c39f5bf730", 1700955721760, 8.5824], "svm.SVCBenchmark.peakmem_predict": [[204525568, 204525568, 204525568, 204525568], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "4a6611919a2e5a6cbd1f6c211b23857b3912da5e1484da897bf70155d62b7980", 1700955730344, 5.9336], "svm.SVCBenchmark.time_fit": [[1.7517796419997467, 1.7512746689990308, 1.7678364809999039, 1.762223572500261], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "60f69bb46f97b00f249209ee47574d1508b9e81a8ba3ec0a8a3a430eb6aa719d", 1700955736278, 128.46, [1.7476, 1.7496, 1.7644, 1.7554], [1.8071, 1.7806, 1.8028, 1.8159], [1.748, 1.7498, 1.7656, 1.7603], [1.77, 1.7523, 1.7748, 1.7916], [1, 1, 1, 1], [17, 17, 16, 16]], "svm.SVCBenchmark.time_predict": [[0.7724828600003093, 0.6791566609990696, 1.8777572529997997, 0.6329283899995062], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "ab64f47e62b03803ca9ee0734d6a0734af8278b39121b069d9abdf86a8e79285", 1700955864746, 125.88, [0.76925, 0.67368, 1.8366, 0.62714], [0.7797, 0.6872, 1.9523, 0.63408], [0.76818, 0.66956, 1.8692, 0.62687], [0.7819, 0.68755, 1.9478, 0.63501], [1, 1, 1, 1], [37, 41, 15, 45]], "svm.SVCBenchmark.track_test_score": [[0.5899537620849096, 0.5, 0.564312736443884, 0.5710382513661202], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "f04be6a642a0b71d7bb27a3b184c53cf61aa01dead2ec4bbc68bf22ea78b68b3", 1700955990623, 0.89007], "svm.SVCBenchmark.track_train_score": [[0.7373393801965231, 0.6089324618736384, 0.7382063936685785, 0.741296518607443], [["'linear'", "'poly'", "'rbf'", "'sigmoid'"]], "30dfcaa0d1c48f402d28bf241f4c7c013ac533fbb528d470c427a34c237993f7", 1700955991514, 6.276]}, "durations": {"": 32.980064, "": 7.670258, "": 36.551106, "": 8.988842, "": 19.897322, "": 13.94914, "": 4.115521, "": 29.307078, "": 31.455196, "": 7.748841, "": 83.014831, "": 31.770492, "": 137.147673, "": 19.658936, "": 11.940129, "": 463.150716, "": 9.666192, "": 18.025579}, "version": 2} \ No newline at end of file