1f64e8d111a67ed8c97f9251f299805496b3644f,tslearn/svm.py,TimeSeriesSVR,fit,#TimeSeriesSVR#Any#Any#Any#,422

Before Change

        self._X_fit = X

        if self.kernel in self.variable_length_kernels:
            assert self.kernel == "gak"
            estimator_kernel = "precomputed"
            self.gamma = gamma_soft_dtw(X)
            sklearn_X = cdist_gak(X, X, sigma=numpy.sqrt(self.gamma / 2.))
        else:
            estimator_kernel = self.kernel
            sklearn_X = _prepare_ts_datasets_sklearn(X)

        self.svm_estimator_ = SVR(
            C=self.C, kernel=estimator_kernel, degree=self.degree,
            gamma=self.gamma, coef0=self.coef0, shrinking=self.shrinking,
            tol=self.tol, cache_size=self.cache_size,

After Change

        return X_[self.svm_estimator_.support_]

    def fit(self, X, y, sample_weight=None):
        sklearn_X, kernel, y = self._preprocess_sklearn(X, y, set_X_fit=True)

        self.svm_estimator_ = SVR(
            C=self.C, kernel=kernel, degree=self.degree,

Instances