tf.contrib.distributions.Dirichlet.alpha Shape parameter.
tf.contrib.distributions.WishartFull.dtype The DType of Tensors handled by this Distribution
tf.contrib.distributions.BetaWithSoftplusAB.pmf(value, name='pmf') Probability mass function. Args:
tf.contrib.distributions.Chi2.beta Inverse scale parameter.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df Degrees of freedom in these Student's t distribution(s).
tf.contrib.distributions.Poisson.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given
tf.contrib.distributions.DirichletMultinomial.sample_n(n, seed=None, name='sample_n') Generate n samples.
tf.contrib.distributions.Dirichlet.log_survival_function(value, name='log_survival_function') Log survival function.
tf.contrib.distributions.MultivariateNormalDiag.log_pmf(value, name='log_pmf') Log probability mass function.
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.get_event_shape() Shape of a single sample from a single batch
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