Librec-auto

Latest version: v0.2.13

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1.0.0

This release contains data and configuration to demonstrate the capabilities of librec-auto 0.2.6.

0.2.7

Sorry for the confusion!

0.2.6

New functionality in librec-auto:

- Support for multiple protected features in re-ranking and evaluation
- Support for Python-side evaluation metrics
- Support for Python-side recommendation algorithms and MS Recommenders integration
- Support of optuna-based TPE black-box optimization
- Additional re-ranker implementations including FA*IR and maximum-flow.

0.2.2

This release extends (and makes mandatory) the error-checking capabilities of librec-auto. Users will get more information about problems with their configuration files and fewer incomprehensible messages. Also, error messages are now consolidated in the output.xml file.

0.2.1

Minor bug fix for black-box optimization function.

0.2

This release has additional extensibility features for librec-auto including Python implementations of evaluation metrics, and easier creation of user-defined re-ranking algorithms. The re-ranking algorithms also have been substantially optimized. Additional fairness-aware metrics are available including miscalibration. Study output is now better integrated and there is a simple wizard for setting up new study configurations.

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