Pusadee's (Patch 2)

Bug Fixes

Saving csv.gz matrices on S3 was not working correctly. Now we put a file to S3 instead of streaming chunks.

Pusadee's (Patch 1)

Bug Fixes

Fixes saving the csv.gz features matrices on S3.

Pusadee's

New Functionality

• Changing how we create the features matrix. Now we generate CSVs for each feature group and stitch them together on disk.
• We are reading and loading CSVs with Polars instead of pandas DataFrames to optimize time with a 10x improvement.

Dried Peach (Patch 3)

New Functionality

• Adds functionality to deal with the cohort being defined within the label query for predicting lists

Bug Fixes

• Fixes a bug on the Baseline Multi-Feature Ranker on the normalization (#934)

Refactoring/Documentation

• Updates different packages

Dried Peach (Patch 2)

Bug Fixes

• Fixes a bug with logging existing cohort dates when using the labels query for the cohort and running with replace=False (#915)

Dried Peach (Patched)

Bug Fixes

• Fixes a bug that was resulting in old default behavior being used when omitting the cohort section of the config to use the label config for both (#911)
• Raise the intended depreciation warning (rather than a cryptic error) when specifying a groups key to feature aggregations (#907)

Refactoring/Documentation

• Adds a colab-based tutorial for a quicker introduction to how to use triage (#878)
• Remove a duplicated cohort section from the example experiment config (#902)
• Various minor documentation updates

Dried Peach

New Functionality

• Adds python 3.10 support (NOTE: loses python 3.7 support) (via #893)
• Support (and prefer) specifying a SQL file path for cohort and label queries (#883)
• Adds information about cohort, label, and bias hashes to the triage_runs table (#888)
• Allow specifying a cohort to be option, defaulting to the label query (#877)

Bug Fixes

• Fixes issue with installing on macos with python 3.9 (via #893)
• Removes (buggy) support for groupings other than entity_id in feature generation (#887)

Refactoring/Documentation

• Various dependency updates (#893)
• Error on cohort or label duplicates (#889)
• Various updates to documentation

Dried Mango (Patched)

New Functionality

• Adds support for postgres 12 and 13 (#882)

Refactoring/Documentation

• Fixes typos in documentation

Dried Mango

NOTE: This release adds python 3.9 support, but unfortunately eliminates python 3.6 support.

New Functionality

• Adds python 3.9 support (#865)
• Adds BaselineRankMultiFeature baseline model to allow for ranking by more than one feature (#871)

Bug Fixes

• Ensure attributes passed to aequitas are strings to avoid issues with crosstab calculation (#876)

Refactoring/Usability

• Renames the descend parameter to low_value_high_score to improve clarity (#871; see also #869)
• Use a threading backend for sklearn parallelization nested within triage multiprocessing to suppress a warning about nested parallelization (#866)

Testing 3.9 compatibility

v5.0.1-alpha1

Bump version: 4.4.0 → 5.0.0