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)
