def test_uslstm_fit(): raise SkipTest() X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX) rnn = UnsupervisedLstm(2, 10, 3, loss=lambda x: T.log(x), max_iter=10) rnn.fit(X)
def test_uslstm_fit(): raise SkipTest() X = np.random.standard_normal((10, 5, 2)) rnn = UnsupervisedLstm(2, 10, 3, loss=lambda x: T.log(x), max_iter=10) rnn.fit(X)