API Reference

This is an example on how to document the API of your own project.

Classifier

CoverForestClassifier([n_estimators, ...])

A conformal random forest classifier.

Regressor

CoverForestRegressor([n_estimators, method, ...])

A conformal random forest regressor.

metrics

metrics.average_interval_length_loss(y_true, ...)	Compute the average length of regression prediction intervals.
metrics.average_set_size_loss(y_true, y_pred)	Compute the average size of classification prediction sets.
metrics.classification_coverage_score(...[, ...])	Compute the empirical coverage for classification prediction sets.
metrics.regression_coverage_score(y_true, ...)	Compute the empirical coverage for regression prediction intervals.