示例#1
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文件： test_rnn.py 项目： osdf/breze 
def test_usrnn_iter_fit():
    raise SkipTest()
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)
    rnn = UnsupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], loss=lambda x: T.log(x), max_iter=10)
    for i, info in enumerate(rnn.iter_fit(X)):
        if i >= 10:
            break
示例#2
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def test_usrnn_iter_fit():
    raise SkipTest()
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)
    rnn = UnsupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], loss=lambda x: T.log(x), max_iter=10)
    for i, info in enumerate(rnn.iter_fit(X)):
        if i >= 10:
            break
示例#3
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def test_usrnn_transform():
    raise SkipTest()
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)
    rnn = UnsupervisedRnn(2, [10],
                          3,
                          hidden_transfers=['tanh'],
                          loss=lambda x: T.log(x),
                          max_iter=10)
    rnn.transform(X)
示例#4
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文件： test_rnn.py 项目： makarl/breze 
def test_usrnn_transform():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    rnn = UnsupervisedRnn(2, 10, 3, loss=lambda x: T.log(x), max_iter=10)
    rnn.transform(X)
示例#5
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文件： test_rnn.py 项目： makarl/breze 
def test_usrnn_iter_fit():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    rnn = UnsupervisedRnn(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
示例#6
0
文件： test_rnn.py 项目： osdf/breze 
def test_usrnn_transform():
    raise SkipTest()
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)
    rnn = UnsupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], loss=lambda x: T.log(x), max_iter=10)
    rnn.transform(X)
示例#7
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def test_usrnn_transform():
    X = np.random.standard_normal((10, 5, 2))
    rnn = UnsupervisedRnn(2, 10, 3, loss=lambda x: T.log(x), max_iter=10)
    rnn.transform(X)
示例#8
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def test_usrnn_iter_fit():
    X = np.random.standard_normal((10, 5, 2))
    rnn = UnsupervisedRnn(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
示例#9
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文件： test_rnn.py 项目： ddofer/breze 
def test_usrnn_transform():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    rnn = UnsupervisedRnn(2, 10, 3, loss=lambda x: T.log(x), max_iter=10)
    rnn.transform(X)