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Changes

This file tracks changes to the raiwidgets package. It should be updated in PRs that make changes, not separately. At the top of the file will always be a v-next entry to add changes that were made since the last release. Each set of changes should be grouped by

  • educational materials
  • new features
  • breaking changes
  • bug fixes
  • other

Note that it is not required to have an entry for every pull request. Instead, please try to add only changes that are meaningful to users who read this file to understand what changed.

v-next (post-v0.2.*)

  • educational materials
  • new features
  • breaking changes
  • bug fixes
  • other

v0.2.2

Update to raiwidgets package.

  • Bug fix:
    • Fix categorical feature in ice plot
    • Left align tabs in explanation window of error analysis
    • Move the selected features and feature importances inside a scrollable pane
    • Show aggregate plots by default in dataset explorer
    • Fix indexing issue in heatmap when selecting all cells

v0.2.1

Update to raiwidgets package.

  • educational materials:
    • add imports for MimicExplainer and PFIExplainer in the interpretability-dashboard-employee-attrition notebook
  • features
    • migrate cohort and dataset utilities to core-ui
    • remove circular dependencies
    • add confirmation popup in ExplanationDashboard when cancelling editing a cohort.
    • fix clipped dropdown in FairnessDashboard
    • keep FairnessDashboard chart state in single model view
    • updates to ErrorAnalysisDashboard:
      • in large data view, change cohort state to use full data instead of downsampled explanation data
      • add true y and predicted y values
      • fix categorical labels handling in what if panel
      • add breadcrumb to error explorer view and minor style adjustments to navigation panel
      • fix indexing issues for all data cohort
      • add color column to local explanation view

v0.2.0

This is the first release of the raiwidgets package.

  • educational materials:
    • notebook analyze-categoricals-binary-classification-local.ipynb added
    • notebook erroranalysis-pretability-dashboard-breast-cancer.ipynb added
    • notebook erroranalysis-interpretability-dashboard-census.ipynb added
    • notebook fairness-credit.ipynb added
    • notebook fairness-dashboard-loan-allocation.ipynb added
    • notebook fairness-interpretability-dashboard-loan-allocation.ipynb added
    • notebook interpretability-dashboard-employee-attrition.ipynb added
  • features
    • FairnessDashboard changes compared to fairlearn's FairlearnDashboard which was migrated to raiwidgets:
      • Restructured performance metric selection as list rather than set of tiles for easier navigation.
      • Added fairness metric selection using a grouped list.
      • Added dropdowns to model comparison view and single model view to allow users to quickly switch between sensitive features, performance metrics, and fairness metrics.
      • Added metric table to single model view.
      • Added dropdown to switch between charts in single model view.
      • Simplified API to extract sensitive feature names directly from sensitive_features.
    • ErrorAnalysisDashboard: first release
    • migrated ExplanationDashboard from interpret-community to raiwidgets

We're skipping v0.1.0 to get all our packages onto the same version:

  • pypi:

    • raiwidgets: first real release

  • npm:

    • @responsible-ai/fairness: previously 0.1.*
    • @responsible-ai/interpret: previously 0.0.*
    • @responsible-ai/error-analysis: first real release
    • @responsible-ai/mlchartlib: previously 0.0.*
    • @responsible-ai/core-ui: previously 0.0.*
    • @responsible-ai/localization: previously 0.0.*