Esempio n. 1
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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
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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
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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
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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
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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)