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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta

class tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta

Inverse Gamma with softplus applied to alpha and beta.

Links:

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

doc_TensorFlow

2016-10-14 12:54:58

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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.prob() tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.prob(value, name='prob') Probability density/mass function (depending on is_continuous).

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf() tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function. Args: value: float or double Tensor.

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode() tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode(name='mode') Mode. Additional documentation from InverseGamma: The mode of an invers

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.__init__() tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='InverseGamma