v1.1.8

What's Changed

• Dsp 474 make documentation changes based on oleg input by @IanAtCredo in #329
• updated evaluator documentation by @IanAtCredo in #330
• changed installation requirements to not include 3.11 by @IanAtCredo in #332
• Feat/3.7 support by @IanAtCredo in #333

Full Changelog: v1.1.7...v1.1.8

v1.1.7

What's Changed

• Bump rlespinasse/github-slug-action from 4.4.0 to 4.4.1 in /.github/workflows by @dependabot in #321
• fix: Added tolerance to sum of probability check by @fabrizio-credo in #320
• Added support for ks score to classification models by @fabrizio-credo in #319
• Quick fixes for bugs relating to validation of string-containing DFs and default value for empty y_prob by @esherman-credo in #323
• Dsp 467 update multi class definition and criteria in lens by @fabrizio-credo in #324
• Bump tensorflow from 2.10.0 to 2.11.1 by @credo-nate in #327

Full Changelog: v1.1.6...v1.1.7

v1.1.6

What's Changed

• Fixing broken links to platform integration notebook by @esherman-credo in #315
• Fix/model validation by @esherman-credo in #314
• Feat/striate installation by @IanAtCredo in #316

Full Changelog: v1.1.5...v1.1.6

v1.1.5

Summary

• Bugfixes to validation
• Warnings related to sensitive feature

What's Changed

• Fix/documentation link + version by @fabrizio-credo in #312
• Multiple Validation Fixes for DummyClassifiers by @esherman-credo in #311
• Bugfix/equity by @IanAtCredo in #313
  Full Changelog: v1.1.4...v1.1.5

v1.1.4

Summary

• Important bug fixes
• New metric - cumulative gain

What's Changed

• Main by @IanAtCredo in #303
• Only run validation if input data is actually provided by @esherman-credo in #304
• Correcting version import by @fabrizio-credo in #307
• Add merge workflow for main->develop by @credo-nate in #308
• Fixing validation for Dummy models which don't specify a prediction function by @esherman-credo in #305
• Added confusion matrix for fairness evaluator by @fabrizio-credo in #306
• Feat/nsf chart by @esherman-credo in #309
• Release/1.1.4 by @IanAtCredo in #310

Full Changelog: v1.1.3...v1.1.4

v1.1.3

Summary of changes

• Joblib for parallelization
• Expanded testing
• Generic functionality to support basic neural network evaluations (e.g., Performance and fairness)
• Separated out functionality to connect python environment with RAI platform using Connect

What's Changed

• Docs/list metrics expand by @fabrizio-credo in #246
• Docs/update governance notebook by @fabrizio-credo in #236
• Feat/black workflow checker (WIP) by @IanAtCredo in #247
• moved lens to use connect by @IanAtCredo in #232
• Identity verification Update by @amrasekh in #250
• Add joblib support to Lens to enable running evaluators in parallel by @esherman-credo in #251
• Change send_to_governance function to default to overwrite existing evidence by @esherman-credo in #254
• Docs/evaluator pages by @fabrizio-credo in #253
• Modify test_lens to call get_evidence for each test by @esherman-credo in #255
• Add calls to send_to_governance to all test cases by @esherman-credo in #256
• Add functionality to check version of Lens on import by @esherman-credo in #252
• Grammar change in first paragraph of docs by @esherman-credo in #258
• allowed training data to be pulled for fetch_credit_data by @IanAtCredo in #259
• Tests/export json by @esherman-credo in #257
• fixed tag bugs by @IanAtCredo in #263
• Governance set_artifacts expects names, not objects by @esherman-credo in #264
• Create pull_request_template.md by @IanAtCredo in #260
• Docs/format evaluators by @fabrizio-credo in #267
• add connect to doc requirements by @IanAtCredo in #271
• Feat/refactor tests by @fabrizio-credo in #270
• Feat/confusion matrix by @IanAtCredo in #268
• Refactor print_results() function by @esherman-credo in #276
• [SEE PR270 FIRST] Feat/test coverage by @esherman-credo in #272
• Adds support for passing config and assessment plan URL for CI by @credo-nate in #279
• reformated confusion matrix by @IanAtCredo in #278
• Test/integration test by @esherman-credo in #269
• Add test-reports workflow for develop and main with badges by @credo-nate in #284
• Docs/experiment evaluators by @esherman-credo in #281
• fix(): restore env variables that were removed during the cleanup by @credo-nate in #285
• Fix secrets and hopefully pip cache by @credo-nate in #288
• updated index to direct new customers by @IanAtCredo in #287
• Feat/multiclass_tests_expansion by @fabrizio-credo in #286
• Feat/prism by @fabrizio-credo in #248
• Bugfixes cleanup by @IanAtCredo in #289
• add command to pipe results to mark failure by @esherman-credo in #293
• create stats functions, moved outcome distribution out of equity eval… by @IanAtCredo in #295
• added sensitive features to data profiler by @IanAtCredo in #294
• Feat/data fairness simplification by @fabrizio-credo in #292
• Ranking fairness refactoring by @amrasekh in #291
• Updated equity to leverage statistic test evidence by @fabrizio-credo in #297
• Feat/image data stable by @esherman-credo in #290
• updated requirements by @IanAtCredo in #299
• added source to all lens outputs by @IanAtCredo in #296
• Release/1.1.3 by @IanAtCredo in #300
• updated version issues by @IanAtCredo in #302
• Only call check_array if predict or predict proba is provided by @esherman-credo in #301

Full Changelog: v1.1.2...v1.1.3

v1.1.2

What's Changed

• Tests/run quickstart by @esherman-credo in #228
• Identity verification assessment by @amrasekh in #222
• Main by @IanAtCredo in #231
• modify quantization of roc and pr curve interpolation helpers to ensure adequately dense interpolation by @esherman-credo in #233
• Docs/list metrics by @esherman-credo in #234
• Feat/deepchecks by @esherman-credo in #220
• Identity Verification - tests and validations by @amrasekh in #235
• 238 shallow copy issue creating lens objects with the same pipeline object causes the latter object to overwrite the results from the former by @esherman-credo in #239
• Bugfix/docs equity by @IanAtCredo in #241
• Upgrading RankingFairness Evaluator by @amrasekh in #242
• Modify get_model_info and update_functionality so that model frameworks are full string. Enables use of XGBoost within Credo Models by @esherman-credo in #237
• Release/1.1.2 by @IanAtCredo in #243

Full Changelog: v1.1.1...v1.1.2

v1.1.1

Small fix to profiler evidence name

v1.1.0

What's Changed

• Feat/governance update by @IanAtCredo in #221
• Feat/contextual tagging system by @fabrizio-credo in #224
• Fixing function to find all evaluator subclasses by @fabrizio-credo in #225
• Release/1.1.0 by @IanAtCredo in #226

Full Changelog: v1.0.1...v1.1.0

v1.0.1

Note IDs have been removed from pipeline specification. Each pipeline list item should either be an evaluator or a tuple with (evaluator, metadata dictionary))

What's Changed

• Assessment data validation fix by @fabrizio-credo in #204
• Feat/gini coefficient by @esherman-credo in #205
• Bugfix/json by @IanAtCredo in #207
• quick import fix by @IanAtCredo in #208
• Feat/model profiler by @fabrizio-credo in #202
• FEAT/shap_evaluator by @fabrizio-credo in #201
• Feat/feature drift by @fabrizio-credo in #211
• Model zoo test freeze by @esherman-credo in #209
• Bug/210/shap error multi class by @fabrizio-credo in #215
• made 'name' attribute implicitly defined, added PipelineStep class, r… by @IanAtCredo in #214
• Feat/vocalink requirements matching by @fabrizio-credo in #216
• Bugfix/generator by @IanAtCredo in #217
• Updated metrics doc by @amrasekh in #219
• Release/1.0.1 by @IanAtCredo in #218

Full Changelog: v1.0.0...v1.0.1