Scikit Plot Versions Save

• Fix #13 Thanks to @david1309 for pointing out the fix
• New argument labels for plot_confusion_matrix. This also fixes #28

• Previously, plot_elbow_curve calculated cost manually instead of using the built-in `score method of a clusterer instance.

New features:

• plot_precision_recall_curve and plot_ks_statistic now have a new curves argument that allows the user to choose which curves should be plotted. Thanks to @doug-friedman for this PR.
• Jupyter notebook examples are now available thanks to @lstmemery

New features:

• plot_pca_2d_projection function
• plot_pca_component_variance function
• plots now have a figsize, title_fontsize, and text_fontsize feature to allow user to customize the size of the plot. This is particularly crucial for Jupyter notebook users where the default settings come out too small. Thanks to @frankherfert for this idea.

Minor changes to examples repo.

Release to trigger Zenodo webhook.

Added Functions API

Welcome to the first ever release of scikit-plot. Hope you find this small library useful!