er_evaluation.plots

Helper Plots and Visualizations

Functions

add_ests_to_summaries(fig, predictions, ...)
compare_plots(*figs[, names, marker, ...])	Combine multiple figures into one.
plot_cluster_errors(prediction, reference[, ...])	Scatter plot of two cluster-wise error metrics.
plot_cluster_sizes_distribution(membership)	Plot the cluster size distribution
plot_comparison(predictions[, metrics, ...])	Plot metrics computed for all prediction pairs.
make_dt_regressor_plot(error_metrics, ...[, ...])	Fit a decision tree regressor to the data and create an interactive sunburst chart visualization of the resulting tree.
plot_dt_regressor_sunburst(dt_regressor, X, ...)	Creates a sunburst plot of a decision tree regressor.
plot_dt_regressor_tree(dt_regressor, ...)	Creates a tree plot of a decision tree regressor.
plot_dt_regressor_treemap(dt_regressor, X, ...)	Creates a treemap plot of a decision tree regressor.
plot_entropy_curve(membership[, q_range, ...])	Plot the Hill number entropy curve
plot_estimates(predictions, sample_weights)	Plot representative performance estimates.
plot_metrics(predictions, reference[, ...])	Plot performance metrics.
plot_performance_disparities(prediction, ...)	Plot largest performance disparities among predefined subgroups.
plot_summaries(predictions[, names, type, ...])	Plot summary statistics