Hardened the Yellowbrick API to elevate the idea of a Visualizer to a first principle. This included reconciling shifts in the development of the preliminary versions to the new API, formalizing Visualizer methods like draw() and finalize(), and adding utilities that revolve around Scikit-Learn. To that end we also performed administrative tasks like refreshing the documentation and preparing the repository for more and varied open source contributions.
Deployed: Friday, January 20, 2017
Contributors: @bbengfort , @rebeccabilbro, @StampedPassp0rt
Changes
- Converted Mkdocs documentation to Sphinx documentation
- Updated docstrings for all Visualizers and functions
- Created a DataVisualizer base class for dataset visualization
- Single call functions for simple visualizer interaction
- Added yellowbrick specific color sequences and palettes and env handling
- More robust examples with downloader from DDL host
- Better axes handling in visualizer, matplotlib/sklearn integration
- Added a finalize method to complete drawing before render
- Improved testing on real data sets from examples
Bugfixes
- Score visualizer renders in notebook but not in Python scripts.
- Tests updated to support new API