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Tasks leading up to v1.0 release
No due date•48/48 issues closed- No due date•4/4 issues closed
Issues that new contributors can do things for.
Due by May 26, 2017•17/20 issues closedPre-PyCon-Sprints release.
Due by May 21, 2017•9/9 issues closedFirst DDL Development Sprints sprint to add new visualizers and get the research labs teams comfortable with the Yellowbrick code base.
Due by March 22, 2017•36/36 issues closedImplementations of text visualizers for NLP models.
Due by February 17, 2017•8/8 issues closedThese issues harden the Yellowbrick library and API to make sure it is extensible for future releases and more ready for users.
Due by October 31, 2016•18/18 issues closedGreat ideas that should be considered for the next version!
No due date•41/51 issues closedThis is the PyData DC Yellowbrick release that we've been pushing towards. It should include our basic Scikit-Learn visual transformers along with regression and classification evaluation tools, feature analysis tools, and hyperparameter tuning tools.
Due by October 5, 2016•17/17 issues closedLaura and Rebecca are updating the documentation to make it easier and more straightforward to contribute.
No due date•1/1 issues closedRegressor visualizations plus utilities.
No due date•9/9 issues closedThe official first release of the Yellowbrick library.
No due dateMVP Prototype release of the yellowbrick package.
No due date•2/2 issues closed