Skip to content

Version 1.4

Compare
Choose a tag to compare
@bbengfort bbengfort released this 19 Feb 22:49
· 34 commits to develop since this release
cbac5e3

Deployed: Saturday, February 19, 2022
Current Contributors: @lwgray, @bbengfort, @falcaopetri, @pkaf, @akx, @pdamodaran, @emarkou, @ndanielsen, @rebeccabilbro, @pdeziel, @busFred, @charlesincharge, @wagner2010

Major:

  • Upgrade dependencies to support sklearn v1.0, Numpy 1.20+, Scipy 1.6, nltk 3.6.7, and Matplotlib 3.4.1
  • Implement new set_params and get_params on ModelVisualizers to ensure wrapped estimator is being correctly accessed via the new Estimator methods.
  • Fix the test dependencies to prevent variability in CI (must periodically review dependencies to ensure we're testing what our users are experiencing).
  • Change model param to estimator param to ensure that Visualizer arguments match their property names so that inspect works with get and set params and other scikit-learn utility functions.

Minor

  • Improved argmax handling in DiscriminationThreshold Visualizer
  • Improved error handling in FeatureImportances Visualizer
  • Gave option to remove colorer from ClassificationReport Visualizer
  • Allowed for more flexible KElbow colors that use default palette by default
  • Import scikit-learn private API _safe_indexing without error.
  • Remove any calls to set_params in Visualizer __init__ methods.
  • Modify test fixtures and baseline images to accommodate new sklearn implementation
  • Temporarily set the numpy dependency to be less than 1.20 because this is causing Pickle issues with joblib and umap
  • Add shuffle=True argument to any CV class that uses a random seed.
  • Set our CI matrix to Python and Miniconda 3.7 and 3.8

Bugs

  • Fixed score label display in PredictionError Visualizer
  • Fixed axes limit in PredictionError Visualizer
  • Fixed KElbowVisualizer to handle null cluster encounters
  • Fixed broken url to pytest fixtures
  • Fixed random_state to be in sync with PCA transformer
  • Fixed the inability to place FeatureCorrelations into subplots
  • Fixed hanging printing impacting model visualizers
  • Fixed error handling when decision function models encounter binary data
  • Fixed missing code in README.md

Infrastructure/Housekeeping/documentation

  • Updated status badges for build result and code coverage
  • Removed deprecated pytest-runner from testing
  • Replaced Travis with Github Actions
  • Changed our master branch to the main branch
  • Created a release issue template
  • Updated our CI to test Python 3.8 and 3.9
  • Managed test warnings
  • Adds .gitattributes to fix handle white space changes
  • Updated to use add_css_file for documentation because of deprecation of add_stylesheet
  • Added a Sphinx build to GitHub Actions for ensuring that the docs build correctly
  • Switched to a YB-specific data lake for datasets storage