0.12.0
Commits
- c8e3607: fix numeric lists in ci/cd docs (#2321) (matanper) #2321
- 4701569: Improve vision data head display (#2322) (matanper) #2322
- 67d6cf3: Add NewCategory to prod suite (#2324) (Noam Bressler) #2324
- cca4c2f: Noam/mon 1644 enable f1 as a default metric (#2326) (Noam Bressler) #2326
- 8c22221: Add imbalanced drift method (#2329) (Nir Hutnik) #2329
- 8daa466: Change KS to be the default drift method (#2330) (Nir Hutnik) #2330
- 025c162: added exception or drift_mode!=prediction and balance_classes=True for prediction drift (#2331) (Nir Hutnik) #2331
- a04a354: Fixed missed default (#2335) (Nir Hutnik) #2335
- 5c5b20a: ignore min_category_size_ratio for balance_classes=True (#2336) (Nir Hutnik) #2336
- 7dae2bb: Added the n_to_show parameter for the TrainTestSamplesMix test (#2337) (Michael Marien) #2337
- 1b26675: added min_samples to all drift checks (#2339) (Nir Hutnik) #2339
- ce8297b: Move the deepchecks metrics (fpr fnr tnr) multiclass versions to multiclass only (#2340) (Noam Bressler) #2340
- 018884d: fix if on pandas object (#2342) (JKL98ISR) #2342
- f148ae7: Fixing many issues in the docs (#2343) (Itay Gabbay) #2343
- 8121b7d: small updates to vision data head (#2347) (matanper) #2347
- ad707d2: fix train_test_prediction_drift reduce fails on value of 0 (#2346) (matanper) #2346
- 1867791: Added validation and normalization of feature importance (#2348) (Nir Hutnik) #2348
- 9a2f0bb: Consistent order in feature drift (#2349) (matanper) #2349
- 2e9cd7c: Bumping to 0.12.0 (Itay Gabbay)
- 6663f27: fixed bug in drift score min samples ordering (#2350) (Nir Hutnik) #2350
- 3e10c18: Merge branch 'main' of https://github.com/deepchecks/MLChecks into 0.12.x (Itay Gabbay)