def test_cov(self): cov = Covariance() cov.fit(self.X) L = cov.transformer_ assert_array_almost_equal(L.T.dot(L), cov.metric())
def train_covariance(X): model = Covariance() model.fit(X) return model.transform(X), model.metric()
def test_cov(self): cov = Covariance() cov.fit(self.X) L = cov.transformer() assert_array_almost_equal(L.T.dot(L), cov.metric())