0.6.4
Commits
- 4065254: Simple model global metric (#1352) (Itay Gabbay) #1352
- c7043bb: Nb/documentation and autocasting pixels (#1345) (Nadav-Barak) #1345
- 040b8ff: Modify import order (#1353) (Itay Gabbay) #1353
- 310ae95: Fix adult dataset fitted model (#1354) (matanper) #1354
- 351f118: Sklearn 0.23.2 support (#1333) (JKL98ISR) #1333
- 3e19f63: Explaining boosting overfit notebook (#1350) (Itay Gabbay) #1350
- 1806a5c: Rename check label ambiguity (#1359) (matanper) #1359
- f606ff0: Fixing tutorials and checks examples (#1362) (Itay Gabbay) #1362
- bc9dbeb: adding submodule to each doc page (#1366) (Itay Gabbay) #1366
- d4d7ec9: Update plot model error analysis (#1361) (matanper) #1361
- b708e14: Torch transformers support (#1357) (JKL98ISR) #1357
- 3f09614: Added margin_quantile_filter to EMD drift score (#1368) (Nir Hutnik) #1368
- 3528633: [issue-892] modified VisionData ctor (#1356) (Yurii Romanyshyn) #1356
- ad112a3: [issue-811] TrainTestFeatureDrift - fi order bug (#1372) (Yurii Romanyshyn) #1372
- fc35b1e: Update mixed data types plot (#1363) (matanper) #1363
- 59c42ac: [issue-1248] features inference for passed into check dataframes (#1355) (Yurii Romanyshyn) #1355
- 3852c62: redo_plotly_ver (#1373) (JKL98ISR) #1373
- 6114d8e: Fix minor link issue & cast to float in log loss (#1374) (Noam Bressler) #1374
- 15c6f37: Nb/vision/new label (#1369) (Nadav-Barak) #1369
- a5fcf3e: [issue-1077] Display logic refactoring (#1279) (Yurii Romanyshyn) #1279
- ce9d4b2: Add mean and median to dist plots (#1376) (matanper) #1376
- 6876380: Serialization subpackage fix - added init.py module (#1389) (Yurii Romanyshyn) #1389
- 6de5e8c: [issue-1370] fixed coco labels map (#1380) (Yurii Romanyshyn) #1380
- 6929f74: Fix emd drift 1276 revised (#1390) (Nir Hutnik) #1390
- e3fc8ce: Nb/vision/map output + doc (#1388) (Nadav-Barak) #1388
- d2d2992: Confusion matrix normalized display (#1377) (JKL98ISR) #1377
- 9133ae6: Added feature_importance.rst (#1391) (Nir Hutnik) #1391
- 11b9e52: Adding spark databricks integration (#1395) (Itay Gabbay) #1395
- 01ec9ff: Fixing examples README.rst, removing OutlierSampleDetection from suite (#1405) (Itay Gabbay) #1405
- e8205cf: From json (#1402) (JKL98ISR) #1402
- 8454128: Fixing validations on GPU (#1396) (Itay Gabbay) #1396
- c6b64d2: hot-fix for the SuiteResult.save_as_html (#1413) (Yurii Romanyshyn) #1413
- edf9ce2: Adding pytest integration (#1403) (Itay Gabbay) #1403
- 46ad6e6: Run the phishing integrity suite on a Dataset instead of a DataFrame. (#1417) (Noam Bressler) #1417
- d8b2885: Minor fixes to the vision documentation: task_type clarification and typo in DetectionData (#1422) (Sol) #1422
- e09ddd5: Removing the extra display info when nothing found (#1423) (matanper) #1423
- fb884cc: Docs improve (#1424) (Itay Gabbay) #1424
- 969be4d: Add example for using H2O with deepchecks (#1400) (Noam Bressler) #1400
- f4d1e6d: Nb/tabular/increase speed outlier detection + timeout (#1414) (Nadav-Barak) #1414
- 56c77c0: [BUGFIX] Serialization logic - additional fixes. (#1420) (Yurii Romanyshyn) #1420
- 0b05fca: Single feature fixes (#1419) (JKL98ISR) #1419
- 6ba8629: Fixes to rst files in integration examples. (Noam Bressler) #1426
- 0fe0db3: new png (#1430) (shir22) #1430
- c3df4f2: Add note to string mismatch checks (#1429) (Noam Bressler) #1429
- c4a2deb: Merge branch 'main' of https://github.com/deepchecks/MLChecks into 0.6.x (Itay Gabbay)
- 8fd0895: 0.6.4 version bump 🚀 (Itay Gabbay)