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

tf.contrib.distributions.WishartFull.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Poisson.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Chi2WithAbsDf.cdf(value, name='cdf') Cumulative distribution function. Given

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

tf.contrib.distributions.BetaWithSoftplusAB.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df Degrees of freedom in these Student's t distribution(s).

tf.contrib.distributions.Binomial.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.StudentT.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.event_shape(name='event_shape') Shape of a single sample from a single