DistrictDataLabs/yellowbrick v1.4

Version 1.4

on GitHub

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