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this error with alg DeepGBM was encountered with dataset openml__credit-approval__29. this occurs when running with both GPU and CPU.
Preprocess data for CatNN...
caught exception during cross-validation...
Traceback (most recent call last):
File "/home/shared/tabzilla/TabSurvey/tabzilla_experiment.py", line 137, in __call__
result = cross_validation(model, self.dataset, self.time_limit)
File "/home/shared/tabzilla/TabSurvey/tabzilla_utils.py", line 246, in cross_validation
loss_history, val_loss_history = curr_model.fit(
File "/home/shared/tabzilla/TabSurvey/models/deepgbm.py", line 55, in fit
train_x_cat, feature_sizes = self.ce.fit_transform(X.copy())
File "/home/shared/tabzilla/TabSurvey/models/deepgbm_lib/preprocess/preprocessing_cat.py", line 35, in fit_transform
out, bins = pd.qcut(X[:, idx], config.config['bins'], labels=False, retbins=True, duplicates='drop')
File "/opt/conda/envs/torch/lib/python3.10/site-packages/pandas/core/reshape/tile.py", line 375, in qcut
x_np = x_np[~np.isnan(x_np)]
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
The text was updated successfully, but these errors were encountered:
this error with alg
DeepGBM
was encountered with datasetopenml__credit-approval__29
. this occurs when running with both GPU and CPU.The text was updated successfully, but these errors were encountered: