Releases: deepchecks/deepchecks
Releases · deepchecks/deepchecks
0.2.1
Commits
- d8b1d43: New version release (github-actions[bot])
- 1ad95b1: Update README.rst (#513) (shir22) #513
- 69100ea: Add examples folder and routing from readme (#514) (shir22) #514
- d96117b: changing gh labels (#515) (Itay Gabbay) #515
- aee01a6: Update README.rst (#516) (shir22) #516
- 233fbce: Update performance.rst (#519) (shir22) #519
- 4c7a4c1: Update display_suite.py (#518) (shir22) #518
- 214213a: Documentation and Readme (#521) (shir22) #521
- c919dd5: Merge branch 'main' of https://github.com/deepchecks/MLChecks into 0.2.x (Itay Gabbay)
- 48fd68c: docs fixes (Itay Gabbay)
- 0cfa6f3: Fix PerfectModel when data have nulls in label (#526) (matanper) #526
- 2051d65: - Adding iris to the datasets section (#530) (Itay Gabbay) #530
- dfa08fa: Update the Dataset Object Documentation (#500) (DBI)
- 9a0e202: version bump (Itay Gabbay)
0.2.0
Commits
- 0df2f8e: Performance report degradation fix (#444) (JKL98ISR) #444
- 2a243b4: Change binary scorers to also return per class (#470) (matanper) #470
- fb94d10: N top show how many (#469) (JKL98ISR) #469
- 84ee22f: remove_zero_warn (#476) (JKL98ISR) #476
- b52add9: no_links_collab (#478) (JKL98ISR) #478
- 5ec8829: [Issue-439, addition] SimpleModelComparison: added 'Number of samples' column to the result df (#473) (Yurii Romanyshyn) #473
- f368333: pipeline model can also no be of type BaseEstimator (#468) (DBI) #468
- b3e73d2: added favicons to the docs (#481) (Yurii Romanyshyn) #481
- 33b4820: [issue-409] added datetime formating function to utils (#464) (Yurii Romanyshyn) #464
- 31018fa: nothing to show on when pps is 0 on all fields (#480) (DBI) #480
- ca7866b: Small typos fixes (#487) (nirhutnik) #487
- 18436ed: Moving examples into docs (#495) (Itay Gabbay) #495
- 9b3b0b8: [Automatic] Examples Update (#496) (deepchecks-bot) #496
- 556c01a: Docs and readme fixes (#497) (Itay Gabbay) #497
- 9d29f0e: [issue-431] modified suite output text (#499) (Yurii Romanyshyn) #499
- f834aee: use_undeprecated_tqdm (#498) (JKL98ISR) #498
- 421d332: fix errors related to string labels (#501) (JKL98ISR) #501
- a54f6fe: Change condition of simple model check to use gain (#488) (matanper) #488
- a33f540: Remove default from metrics (#507) (JKL98ISR) #507
- 682c4cf: add dataset script and notebook for phishing url example (#485) (Noam Bressler) #485
- 1112b97: Fix string labels in performance report / simple model comparison (#504) (JKL98ISR) #504
- de8742f: dataset mutable properties fix (#509) (Yurii Romanyshyn) #509
- a192c42: [Automatic] Examples Update (#510) (deepchecks-bot) #510
- 44d69b9: Update README.rst (#511) (shir22) #511
- 8076354: Limit permutation time (#512) (Noam Bressler) #512
- f9e8484: 0.2.0 version bump (Itay Gabbay)
0.1.3
Commits
- d332548: Fix x axis to show categorical correct (#413) (matanper) #413
- Fix legend position (#414) #414 (matanper)
- 76f256e: [Automatic] Examples Update (#427) (deepchecks-bot) #427
- fbe6da3: Fix code example of scorer note docstring (#426) (matanper) #426
- 44b539a: Update README.md (#442) (shir22) #442
- aa87c08: Roc plotly (#415) (JKL98ISR) #415
- 4d22f3a: Changing tag in GA (#450) (Itay Gabbay) #450
- b0c3576: Fix trying to calculate features importance on none model (#440) (matanper) #440
- 6c61816: Add to suite output the checks that haven't run because of missing parameters (#436) (matanper) #436
- ed5fdf1: catch condition errors (#449) (JKL98ISR) #449
- 6e93077: Issue template (#448) (Itay Gabbay) #448
- 00d6726: Update config.yml (Itay Gabbay)
- cc315fd: test (#445) (nirhutnik) #445
- 07f4624: move to plotly (#455) (DBI) #455
- b8fc116: fix - validate_fitting failing when data contains only one label (Noam Bressler) #454
- f3dd910: Changing README files from markdown to RST (#459) (Itay Gabbay) #459
- 63af15f: Fix overlap of titles in drift plots (#462) (DBI) #462
- c917845: re-adding widget progressbar (#460) (JKL98ISR) #460
- b95dc48: remove label_name from dataset constructor (#456) (matanper) #456
- 50a49e3: Updating long description (#463) (Itay Gabbay) #463
- 09e6fba: [issue-439] added 'Number of samples' column to the result dataframe; (#461) (Yurii Romanyshyn) #461
- 375ae16: Create pull_request_template.md (#465) (Itay Gabbay) #465
- 6080e21: Updating long description (#471) (Itay Gabbay) #471
0.1.1
0.1.0
Commits
- d32acfd: Mlc 456 unused feature bug (#379) (nirhutnik) #379
- 7c2d7a6: Label + prediction distribution (#380) (nirhutnik) #380
- b92efaf: Mlc 185 drift for label and pred (#388) (nirhutnik) #388
- e531c07: Make trust score plot cut off upper and lower 5% of data for display (#391) (Noam Bressler) #391
- b994b21: Fixing conda packaging (#389) (Itay Gabbay) #389
- 839f63a: Mlc 185 drift for label and pred (#396) (nirhutnik) #396
- 7fc29b5: Simple model classes fix (#395) (matanper) #395
- eb1300d: Fix confusion matrix heatmap (#398) (matanper) #398
- ceee746: Add explanation about scorers to simple model check (#387) (matanper) #387
- c3995e7: assume task type from model or label (#397) (DBI) #397
- 700598c: Mlc 292 model error analysis (#378) (Noam Bressler) #378
- e537e01: Temporary fix for groupby on category (#399) (matanper) #399
- a18fc89: Merge performance report, Class Performance Imbalance and Train test Overfit into one check (#364) (JKL98ISR) #364
- 5b8e1bc: drop nan before gausian_kde (#402) (DBI) #402
- eb7e6bb: only one performance report (#406) (Noam Bressler) #406
- df7ad4e: Fix model info to work with pipeline (#405) (matanper) #405
- 652a1f4: Updated readme, user guide and how-to-guides (#340) (shir22) #340
- f6b70e0: v0 (#410) (JKL98ISR) #410
- 9279b06: [Automatic] Examples Update (#411) (deepchecks-bot) #411
0.0.17
Commits
- af0d0e8: Adding coverage (#346) (Itay Gabbay) #346
- 88df3d6: infer task type (#337) (DBI) #337
- 582f20b: add r2 score (#347) (DBI) #347
- 55d30c0: add minimum outlier difference (#344) (DBI) #344
- ae61e14: Simple model multi metric (#341) (matanper) #341
- 664dfcb: update boosting overfit condition name (#365) (matanper) #365
- f2d9ff1: Mlc 392 pps improvements (#338) (nirhutnik) #338
- 4c89956: Fix model info default params (#367) (matanper) #367
- 20edb8f: moved dataset legened to the right (#369) (matanper) #369
- d1ea2fb: drop na_action from column.map, we already dropna (#368) (DBI) #368
- 9464795: add prediction column to RegressionErrorDistribution (#370) (Noam Bressler) #370
- 22e90f7: catch exception (#375) (DBI) #375
- c011522: replace RegressionSystematicError with box plot that has the mean as hover value (#372) (Noam Bressler) #372
- 268f1b1: small changes to comments (#343) (nirhutnik) #343
- 0ec92d7: moving to coveralls (#381) (Itay Gabbay) #381
- abb630e: Adding new drift nb (#333) (Itay Gabbay) #333
- e9b0479: Adding files to package (#383) (Itay Gabbay) #383
- b52146b: Update setup.py (Itay Gabbay)
0.0.16
Commits
- 9979dbd: refactoring (#307) (Yurii Romanyshyn) #307
- d8d4960: nbgen fix (#310) (Itay Gabbay) #310
- 59b5d7c: [MLC-379] fixed suite result display (#296) (Yurii Romanyshyn) #296
- ef3150f: [Automatic] Examples Update (#311) (deepchecks-bot) #311
- 625ac3d: [MLC-413] replaced mathplot with plotly (#312) (Yurii Romanyshyn) #312
- d12202e: Fixes to dataset creation logic (#279) (Noam Bressler) #279
- 82a4284: [Automatic] Examples Update (#314) (deepchecks-bot) #314
- 4b7108f: checking that datetime or index exists now acknowledges those in dataframe index (#316) (Noam Bressler) #316
- 0a1bd1a: Add multimodel performance report (#300) (matanper) #300
- 8010aff: change some conditions to category=ConditionCategory.WARN (#319) (Noam Bressler) #319
- 292e9b9: Mlc 410 drift to plotly (#313) (DBI) #313
- 23863e4: refactor trust score to plotly (#320) (DBI) #320
- 8785ae6: [Automatic] Examples Update (#321) (deepchecks-bot) #321
- b7f9ccd: Modifying plotly default backends (#318) (Itay Gabbay) #318
- 4fbd46c: flatten coef_ in FI calculation for linear regression (#326) (Noam Bressler) #326
- 45a0d82: Fixing docs search (#324) (Itay Gabbay) #324
- ab39bc3: Conda tries (#327) (Itay Gabbay) #327
- 4b917d3: add explicit exception for classifiers with no predict_proba (#328) (Noam Bressler) #328
- c4af9e8: prevent Dataset object from re-inferring categorical features (#330) (Noam Bressler) #330
- eb5fbbb: fix calibration score check (#325) (DBI) #325
- 18fa121: [Automatic] Examples Update (#332) (deepchecks-bot) #332
- da1e466: fix requirement for google colab (#329) (DBI) #329
- 9b38a48: add train test split (#331) (DBI) #331
- 1931cee: Change last occurrences of "Baseline" and "Dataset" to "Train" and "Test" (#334) (Noam Bressler) #334
- c1d3c06: [Automatic] Examples Update (#339) (deepchecks-bot) #339
- e9b5036: [MLC-388] added limit on dataset features number for features importance calculation (#315) (Yurii Romanyshyn) #315
- bcbe81b: * Adding the datasets module (#335) (Itay Gabbay) #335
- d3e4242: Mlc 457 check displays (#336) (DBI) #336
- 1f0a71c: Update VERSION (Itay Gabbay)
0.0.15
0.0.14
Commits
- d02e3e2: Update README.md (#278) (Itay Gabbay) #278
- aeb7dd9: improve boosting overfit (#267) (Noam Bressler) #267
- 80a1858: Add model comparison (#273) (matanper) #273
- 53392af: Updating example notebooks (github-actions[bot])
- 5c17263: Revert "Updating example notebooks" (Itay Gabbay)
- 2c3f6dd: add name to index (#283) (DBI) #283
- e55350c: [MLC-364] replaced occurrence of 'metric' noun with 'score(r)' within 'deepchecks.checks.performance' package (#243) (Yurii Romanyshyn) #243
- 61afc49: GH pages job removal (#280) (Itay Gabbay) #280
- f0e769b: Fix trust score err (#287) (Noam Bressler) #287
- bc7fd69: [MLC-241] output order (#240) (Yurii Romanyshyn) #240
- 76cb889: limit output size (#288) (DBI) #288
- 5302dc2: improve wording (#284) (DBI) #284
- ceba2ed: Update utils.metric to delete duplicated code (#290) (matanper) #290
- 25fc111: Adding nblinks instead of copy (#292) (Itay Gabbay) #292
- c66f36f: fix TypeError: unhashable type: 'numpy.ndarray' (#291) (Noam Bressler) #291
- 7d8c464: disable nbval (#293) (Itay Gabbay) #293
- da82604: [MCL-370] refactored init.py files (#286) (Yurii Romanyshyn) #286
- 97ea435: [Refactoring] Moved
is_categoricalandinfer_categorical_featuresto the utils package (#289) (Yurii Romanyshyn) #289 - 1856378: Adding a cronjob to generate the examples (Itay Gabbay)
- fc43858: Revert "Adding a cronjob to generate the examples" (Itay Gabbay)
- 1a819d3: Adding a cronjob to generate the examples (#295) (Itay Gabbay) #295
- 6c920c8: Update nb-generation.yml (#298) (Itay Gabbay) #298
- 95b4935: Update nb-generation.yml (Itay Gabbay)
- 05f4635: [Automatic] Examples Update (#299) (deepchecks-bot) #299
- a17bc99: boosting overfit + unused features to plotly (#281) (JKL98ISR) #281
- 8bf82b9: bug in dataset class? (#297) (Yurii Romanyshyn) #297
- 1fbd19c: Adding flake8 validations (#302) (Itay Gabbay) #302
- 4dc9f1f: Added plotly plots for performance (#301) (JKL98ISR) #301
- 8d6e7fb: Fixing plotly rendering in docs (#305) (Itay Gabbay) #305
- 4efb79b: Improve mixed types (#294) (Noam Bressler) #294
- 3ca5e64: Changing the google tags (#306) (Itay Gabbay) #306
- 2e63cef: Improve mixed data types (#308) (Noam Bressler) #308
- da76625: added_links_to_conditions (#274) (JKL98ISR) #274
- bf8d50a: New suites (#303) (matanper) #303
0.0.13
Commits
- 68fbb2f: param dict should be empty (#256) (DBI) #256
- 2d310ea: same colors for train test (#260) (DBI) #260
- 4618a6f: Relax label constraints (#265) (Noam Bressler) #265
- ba4931c: fix tqdm problems with kaggle (#266) (JKL98ISR) #266
- 41053da: Update dataset properties (#249) (matanper) #249
- c055096: Added pipeline support for boosting overfit (#269) (JKL98ISR) #269
- 453b0d2: Mlc 225 domain classifier (#245) (Noam Bressler) #245
- b81d341: Add plotly support to check display (#268) (matanper) #268
- bb91727: Update label docs and add validation (#271) (matanper) #271
- 59c3603: made tests to run on windows too (#229) (JKL98ISR) #229
- db9cf33: added_lru_for_FI (#272) (JKL98ISR) #272
- cc9a3bc: Removing Rare Format check (#275) (Itay Gabbay) #275
- 4a2fa7c: small documentation improvements (#276) (Yurii Romanyshyn) #276
- 6dada8c: Fixing version (#277) (Itay Gabbay) #277
- d3b015a: New version release (github-actions[bot])