Esempi in Python per UnsupervisedLstm

Esempio n. 1

File: test_rnn.py Progetto: makarl/breze

def test_uslstm_iter_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)
    for i, info in enumerate(rnn.iter_fit(X)):
        if i >= 10:
            break

Esempio n. 2

File: test_rnn.py Progetto: korhammer/breze

def test_uslstm_iter_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)
    for i, info in enumerate(rnn.iter_fit(X)):
        if i >= 10:
            break

Esempio n. 3

File: test_rnn.py Progetto: makarl/breze

def test_uslstm_transform():
    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.transform(X)

Esempio n. 4

File: test_rnn.py Progetto: korhammer/breze

def test_uslstm_transform():
    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.transform(X)

Esempio n. 5

File: test_rnn.py Progetto: ddofer/breze

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)