Version 0.5.0 Release

[rebeccabilbro]

Steps for 0.5.0 version bump:

• [x] Branch release-0.5.0
• [x] Do version bump
• [x] Update tests and run tests
• [x] Create change log
• [x] Review documentation build
• [x] Merge to master
• [x] Push release to PyPI (instructions)
• [x] Create 0.5.0 tag
• [x] Copy change log to release notes
• [x] Push documentation to Read the Docs
• [x] Merge release to develop
• [x] Delete release

[rebeccabilbro]

Also reminder to make a new conda package after we close this issue

[rebeccabilbro]

md for github:

Deployed: Wednesday, August 9, 2017 Contributors: @bbengfort, @rebeccabilbro, @ndanielsen, @cjmorale, @JimStearns206, @pbs929, @jkeung

Changes

• Added VisualTestCase.
• New PCADecomposition Visualizer, which decomposes high dimensional data into two or three dimensions so that each instance can be plotted in a scatter plot.
• New and improved ROCAUC Visualizer, which now supports multiclass classification.
• Prototype Decision Boundary Visualizer, which is a bivariate data visualization algorithm that plots the decision boundaries of each class.
• Added Rank1D Visualizer, which is a one dimensional ranking of features that utilizes the Shapiro-Wilks ranking that takes into account only a single feature at a time (e.g. histogram analysis).
• Improved Prediction Error Plot with identity line, shared limits, and r squared.
• Updated FreqDist Visualizer to make word features a hyperparameter.
• Added normalization and scaling to Parallel Coordinates.
• Added Learning Curve Visualizer, which displays a learning curve based on the number of samples versus the training and cross validation scores to show how a model learns and improves with experience.
• Added data downloader module to the yellowbrick library.
• Complete overhaul of the yellowbrick documentation; categories of methods are located in separate pages to make it easier to read and contribute to the documentation.
• Added a new color palette inspired by ANN-generated colors

Bug Fixes:

• Repairs to PCA, RadViz, FreqDist unit tests
• Repair to matplotlib version check in JointPlot Visualizer

rst for the docs:

Version 0.5.0

• Tag: v0.5.0_
• Deployed: Wednesday, August 9, 2017
• Contributors: Benjamin Bengfort, Rebecca Bilbro, Nathan Danielsen, Carlo Morales, Jim Stearns, Phillip Schafer, Jason Keung

Changes:

• Added VisualTestCase.
• New PCADecomposition Visualizer, which decomposes high dimensional data into two or three dimensions so that each instance can be plotted in a scatter plot.
• New and improved ROCAUC Visualizer, which now supports multiclass classification.
• Prototype Decision Boundary Visualizer, which is a bivariate data visualization algorithm that plots the decision boundaries of each class.
• Added Rank1D Visualizer, which is a one dimensional ranking of features that utilizes the Shapiro-Wilks ranking that takes into account only a single feature at a time (e.g. histogram analysis).
• Improved Prediction Error Plot with identity line, shared limits, and r squared.
• Updated FreqDist Visualizer to make word features a hyperparameter.
• Added normalization and scaling to Parallel Coordinates.
• Added Learning Curve Visualizer, which displays a learning curve based on the number of samples versus the training and cross validation scores to show how a model learns and improves with experience.
• Added data downloader module to the yellowbrick library.
• Complete overhaul of the yellowbrick documentation; categories of methods are located in separate pages to make it easier to read and contribute to the documentation.
• Added a new color palette inspired by ANN-generated colors <http://lewisandquark.tumblr.com/>_

Bug Fixes:

• Repairs to PCA, RadViz, FreqDist unit tests
• Repair to matplotlib version check in JointPlot Visualizer

.. _v0.5.0: https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.5.0