An intuitive library to add plotting functionality to scikit-learn objects.
New Features:
plot_confusion_matrix
has new parameter hide_counts
via @echan5 #90New 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.New feature:
decomposition.plot_pca_2d_projection
now has an option to show biplots! Thanks to @ryanliwag for the change.Hotfix release for RTD. Use conda and readthedocs.yml
New Features
scikitplot.metrics
module #71Bugfix
spectral
colormap to nipy_spectral
by @emredjan #66Bugfix:
nose
dependency preventing proper documentation buildNew features:
plot_learning_curve
has new parameter scoring
to allow custom scoring functions. By @jengelmanplot_calibration_curves
Deprecations
scikitplot.plotters
has been deprecated and the functions in the Functions API have been distributed to various new modules. See documentation for more details.Features
hide_zeros
for plot_confusion_matrix
by @ExcaliburZero. #39plot_confusion_matrix
by @ExcaliburZero. #41plot_pca_2d_projection
, plot_silhouette
, plot_precision_recall_curve
, plot_roc_curve
, and plot_confusion_matrix
. #50Bugfix:
Features:
x_tick_rotation
to plot_confusion_matrix
and plot_feature_importances
Bugfix