v0.3.7

New Features:

• plot_confusion_matrix has new parameter hide_counts via @echan5 #90

v0.3.5

New features:

• plot_precision_recall_curve and plot_roc_curve have been deprecated for plot_precision_recall and plot_roc, respectively. The major difference is the deletion of the curves parameter and the use of plot_macro, plot_micro, and classes_to_plot to choose which curves should be plotted. Thanks to @lugq1990 for this change.

v0.3.4

New feature:

• decomposition.plot_pca_2d_projection now has an option to show biplots! Thanks to @ryanliwag for the change.

v0.3.3

Hotfix release for RTD. Use conda and readthedocs.yml

v0.3.2

New Features

• Gain Chart and Lift Chart added to scikitplot.metrics module #71
• Updated Jupyter notebook examples for v0.3.x by @ljvmiranda921 #69

Bugfix

• Changed deprecated spectral colormap to nipy_spectral by @emredjan #66

v0.3.1

Bugfix:

• Remove nose dependency preventing proper documentation build

v0.3.0

New features:

• plot_learning_curve has new parameter scoring to allow custom scoring functions. By @jengelman
• New plotting function plot_calibration_curves

Deprecations

• The Factory API has been deprecated and will be removed in v0.4.0
• scikitplot.plotters has been deprecated and the functions in the Functions API have been distributed to various new modules. See documentation for more details.

v0.2.8

Features

• New option hide_zeros for plot_confusion_matrix by @ExcaliburZero. #39
• New option to plot only certain labels in plot_confusion_matrix by @ExcaliburZero. #41
• New options to set colormaps for plot_pca_2d_projection, plot_silhouette, plot_precision_recall_curve, plot_roc_curve, and plot_confusion_matrix. #50

Bugfix:

• Fixed bug with nan values in confusion matrices by @ExcaliburZero (#42)

v0.2.7

Features:

• #38 adds new parameter x_tick_rotation to plot_confusion_matrix and plot_feature_importances

v0.2.6

Bugfix

• Fix for #31