Visualizations

Helper functions to visualize the results of the challenges.

Boxplot

SingleMetricBoxplot(cv_results, metric[, ...])

Create a boxplot for a single metric.

box_plot_matplotlib(cv_results, metric[, ...])	Create a boxplot using matplotlib from the CV results.
box_plot_bokeh(cv_results, metric[, ...])	Create a boxplot using bokeh from the CV results.

Helper Functions

group_by_data_label(level[, include_all, ...])

Create a grouper function that groups labels by the data label at the given level.

Residual Plot

ResidualPlot(cv_result, prediction_col_name, ...)

Plot a residual (similar to Blant-Altman) plot to visualize the error dependency.

residual_plot_matplotlib(cv_results, *, ...)	Create a residual plot using matplotlib.
residual_plot_bokeh(cv_result, *, ...[, ...])	Create a residual plot using bokeh.

Utils

replace_legend_labels(ax, rename_dict)

Replace the legend labels in a matplotlib plot.