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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.init()

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentTWithAbsDfSoftplusSigma')

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#StudentTWithAbsDfSoftplusSigma.__init__

doc_TensorFlow

2016-10-14 13:02:37

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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma = softplus(sigma).

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.name tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.std() tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.std(name='std') Standard deviation.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample() tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape. N

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.parameters tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.parameters Dictionary of parameters used by this Distribution.