5c24a8f2ad2241a0377d8e3e3d9edbad87a1723d,tslearn/neighbors.py,KNeighborsTimeSeriesClassifier,predict,#KNeighborsTimeSeriesClassifier#Any#,264

Before Change

        X : array-like, shape (n_ts, sz, d)
            Test samples.
        
        if self.metric == "precomputed" and hasattr(self, "_ts_metric"):
            if self.metric_params is None:
                metric_params = {}
            else:

After Change

                X_ = cdist_dtw(X, self._ts_fit, **metric_params)
            elif self._ts_metric == "softdtw":
                X_ = cdist_soft_dtw(X, self._ts_fit, **metric_params)
            pred = super(KNeighborsTimeSeriesClassifier, self).predict(X_)
            self.metric = self._ts_metric
            return pred
        else:

Instances