def test_rim_iter_fit(): X = np.random.standard_normal((10, 2)) X, = theano_floatx(X) rim = Rim(2, 10, 0.1, max_iter=10) for i, info in enumerate(rim.iter_fit(X)): if i >= 10: break
def test_rim_fit(): X = np.random.standard_normal((10, 2)) rim = Rim(2, 10, 0.1, max_iter=10) rim.fit(X)
def test_rim_transform(): X = np.random.standard_normal((10, 2)) rim = Rim(2, 10, 0.1, max_iter=10) rim.transform(X)
def test_rim_fit(): X = np.random.standard_normal((10, 2)) X, = theano_floatx(X) rim = Rim(2, 10, 0.1, max_iter=10) rim.fit(X)