model.py 文件源码

def compute_metrics_cv(self, X, Y):
        """Compute cross-validated metrics.

        Trains this model on data X with labels Y.

        Returns a MetricList with the name, scoring type, and value for each
        Metric. Note that these values may be numpy floating points, and should
        be converted prior to insertion in a database.

        Parameters
        ----------
        X : numpy array-like or pd.DataFrame
            data
        Y : numpy array-like or pd.DataFrame or pd.DataSeries
            labels
        """

        scorings, scorings_ = self._get_scorings()

        # compute scores
        scores = self.cv_score_mean(X, Y, scorings_)

        # unpack into MetricList
        metric_list = self.scores_to_metriclist(scorings, scores)
        return metric_list