Metrics 0.3.0 classificationreport

Lodestar.Metrics 0.3.0. This page is frozen at that release. Read the current documentation for what main says now. A link to a decision or a migration page follows main, and leaves the archive.

ClassificationReport

The table people actually paste into a pull request: precision, recall, F1 and support, per class, plus the averages — available both as objects and as scikit-learn's own text, character for character.

Members

Member	What it does
ClassificationReport.Compute	Builds the report: one row per class, the accuracy, and two or three averaged rows.
ClassificationReport.ToText	Renders the table the way sklearn.metrics.classification_report prints it, to the character.
ClassificationReport.ToString	The two-digit table, so that printing a report does something useful.