Version 0.2

Intermediate steps towards a complete API for visualization. Preparatory stages for Scikit-Learn visual pipelines.

Deployed: Sunday, September 4, 2016
Contributors: Benjamin Bengfort, Rebecca Bilbro, Patrick O'Melveny, Ellen Lowy, Laura Lorenz

Changes

• Continued attempts to fix the Travis-CI Scipy install failure (broken tests)
• Utility function: get the name of the model
• Specified a class based API and the basic interface (render, draw, fit, predict, score)
• Added more documentation, converted to Sphinx, autodoc, docstrings for viz methods, and a quickstart
• How to contribute documentation, repo images etc.
• Prediction error plot for regressors (mvp)
• Residuals plot for regressors (mvp)
• Basic style settings a la seaborn
• ROC/AUC plot for classifiers (mvp)
• Best fit functions for "select best", linear, quadratic
• Several Jupyter notebooks for examples and demonstrations