- 1f5f458 fix: add caching logs (#203)
- ce93191 examples: update with new numalogic and pynumaflow (#202)
- fd169cf chore!: refactor preproc and postproc into transforms module (#201)
- a2b00c1 fix: Sparse AE for vanilla and conv (#199)
- 5e69f5f fix: registry test_case (#197)
- Avik Basu
- Kushal Batra
- 75aea49 chore!: Auto detect instance type while mlflow model save (#190)
- e884b90 feat: add redis caching (#179)
- 7834730 fix: allow import from Registryconfig with optional dependencies (#180)
- 25a16f2 fix: stale check; conf lazy imports (#178)
- Avik Basu
- Kushal Batra
- 54cffe3 fix: optional dependency imports
- Avik Basu
- 8086db1 fix: stale check; conf lazy imports (#178)
- b664e49 Prerelease 0.4 (#173)
- 85fb527 chore!: use torch and lightning 2.0
- Avik Basu
- 3160c2b feat: exponential moving average postprocessing (#156)
- 9de8e4c fix: validation loss not being logged (#155)
- Avik Basu
- b61ac1f fix: Tanhscaler nan output for constant feature (#153)
- 69006eb Update CODEOWNERS (#151)
- 6b38465 feat: more generic convolutional ae (#149)
- Avik Basu
- Vigith Maurice
- cb5509a add: anomaly sign and return labels for anomalies generated (#146)
- b6f63ef fix: latest model calling (#145)
- 6ee3446 fix: transition (#144)
- Kushal Batra
- ea01b44 feat: Sigmoid threshold (#141)
- Avik Basu
- ec8401d feat: tanh preprocessing (#139)
- Avik Basu
- 4eae629 fix!: consistency with threshold methods (#138)
- 2ac1c2f feat: static threshold estimator (#136)
- d3488c9 feat: initial config schema (#135)
- Avik Basu
- 2923718 fix: unbatch error on certain cases (#131)
- 232302e fix: pin protobuf to v3.20 for pytorch-lightning (#130)
- dca9a7a feat!: merge to release v0.3 (#119)
- df20591 fix: sklearn base import for scikit learn v1.2 (#112)
- d2c6293 fix: change example pipeline mlflow port (#96)
- f9c74c9 fix: allow only patch updates in torch version due to cuda build errors on mac (#90)
- 0a5fcdf fix_readme: mention namespace name when applying the pipeline (#88)
- Avik Basu
- Kushal Batra
- 88d26ec feat!: convert AE variants to lightning modules (#110)
- ed94615 fix: fix and clean mlflow test cases (#109)
- Avik Basu
- Kushal Batra
- 78cf5b4 fix: fix pipeline for 0.3 release (#106)
- 709553f fix: fix mlflow test cases (#98)
- 701812e feat!: disentangle threshold selection from the main model (#89)
- Avik Basu
- Kushal Batra
- dca9a7a feat!: merge to release v0.3 (#119)
- Avik Basu
- c00bb14 fix: Upgrade torch to 1.13.1 (#128)
- Avik Basu
- df20591 fix: sklearn base import for scikit learn v1.2 (#112)
- Avik Basu
- 7d5075d remove mlflow full
- 05d6071 fix: have mlflow-server as an optional extra
- 3c5bc83 fix: lock file
- d2c6293 fix: change example pipeline mlflow port (#96)
- Avik Basu
- Kushal Batra
- f9c74c9 fix: allow only patch updates in torch version due to cuda build errors on mac (#90)
- 0a5fcdf fix_readme: mention namespace name when applying the pipeline (#88)
- 537fae5 fix: AutoencoderPipeline logged loss mean (#55)
- 22f8e5d chore!: make mlflow as an optional dependency (#47)
- Avik Basu
- Kushal Batra
- diego-ponce
- 5703d1b fix: update readme with optional mlflow dependency
- 702f3b4 fix: install extras in workflows
- 8969e80 chore!: make mlflow as an optional dependency
- 9cc97cb feat: resume training parameter (#40)
- Avik Basu
- Kushal Batra
- f0b0d3c fix: loading secondary artifacts (#16)
- 0c506bd chore (#19)
- c845d09 Update README.md
- e8be7c5 fix: pypi auto publish workflow (#18)
- fa22031 [Chore] Update README (#17)
- Avik Basu
- Kushal Batra
- Saradhi Sreegiriraju
- Vigith Maurice
- amitkalamkar
- 6847211 workflows: add pypi publish and auto release generation (#14)
- 040584f feat: adding feature for retaining fixed number of stale model (#13)
- Avik Basu
- Kushal Batra
- a5ef072 feat: Add support for storing preproc artifacts (scondary artifact) i… (#11)
- Kushal Batra
- 5314070 feat: add transformers model (#8)
- Kushal Batra