classification.py 文件源码

def _predict_distances(self, covtest):
        """Helper to predict the distance. equivalent to transform."""
        Nc = len(self.covmeans_)

        if self.n_jobs == 1:
            dist = [distance(covtest, self.covmeans_[m], self.metric_dist)
                    for m in range(Nc)]
        else:
            dist = Parallel(n_jobs=self.n_jobs)(delayed(distance)(
                covtest, self.covmeans_[m], self.metric_dist)
                for m in range(Nc))

        dist = numpy.concatenate(dist, axis=1)
        return dist