Report for a single estimator

The class EstimatorReport provides a report allowing to inspect and evaluate a scikit-learn estimator in an interactive way. The functionalities of the report are accessible through accessors.

EstimatorReport(estimator, *[, fit, ...])

Report for a fitted estimator.

Methods

EstimatorReport.help()	Display available methods using rich.
EstimatorReport.cache_predictions([...])	Cache estimator's predictions.
EstimatorReport.clear_cache()	Clear the cache.
EstimatorReport.get_predictions(*, ...[, X, ...])	Get estimator's predictions.

Metrics

EstimatorReport.metrics

Accessor for metrics-related operations.

Feature importance

EstimatorReport.feature_importance

Accessor for feature importance related operations.

Metrics

The metrics accessor helps you to evaluate the statistical performance of your estimator.

EstimatorReport.metrics.help	Display available methods using rich.
EstimatorReport.metrics.report_metrics	Report a set of metrics for our estimator.
EstimatorReport.metrics.custom_metric	Compute a custom metric.
EstimatorReport.metrics.timings	Get all measured processing times related to the estimator.
EstimatorReport.metrics.accuracy	Compute the accuracy score.
EstimatorReport.metrics.brier_score	Compute the Brier score.
EstimatorReport.metrics.log_loss	Compute the log loss.
EstimatorReport.metrics.precision	Compute the precision score.
EstimatorReport.metrics.precision_recall	Plot the precision-recall curve.
EstimatorReport.metrics.prediction_error	Plot the prediction error of a regression model.
EstimatorReport.metrics.r2	Compute the R² score.
EstimatorReport.metrics.recall	Compute the recall score.
EstimatorReport.metrics.rmse	Compute the root mean squared error.
EstimatorReport.metrics.roc	Plot the ROC curve.
EstimatorReport.metrics.roc_auc	Compute the ROC AUC score.

Feature importance

The feature_importance accessor helps you to evaluate the importance of the features used to train your estimator.

EstimatorReport.feature_importance.help	Display available methods using rich.
EstimatorReport.feature_importance.coefficients	Retrieve the coefficients of a linear model, including the intercept.
EstimatorReport.feature_importance.mean_decrease_impurity	Retrieve the mean decrease impurity (MDI) of a tree-based model.
EstimatorReport.feature_importance.permutation	Report the permutation feature importance.