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.

Metrics

EstimatorReport.metrics

Accessor for metrics-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.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.