46cb0b5b2cf2d836a2cf96be95d4e25a4004675e,tslearn/clustering.py,KShape,_fit_one_init,#KShape#Any#Any#Any#,729

Before Change

            self.cluster_centers_ = initial_centroids.copy()
        else:
            self.cluster_centers_ = rs.randn(self.n_clusters, sz, d)
        self._norms_centroids = numpy.linalg.norm(self.cluster_centers_, axis=(1, 2))
        old_inertia = numpy.inf

        for it in range(self.max_iter):
            old_cluster_centers = self.cluster_centers_.copy()

After Change

        if hasattr(self.init, "__array__"):
            self.cluster_centers_ = self.init.copy()
        else:
            self.cluster_centers_ = _k_init(X[:, :sz, :].reshape((n_ts, -1)),
                                            self.n_clusters, x_squared_norms, rs).reshape((-1, sz, d))
        old_inertia = numpy.inf

Instances