tf.contrib.distributions.Distribution.is_reparameterized

tf.contrib.distributions.InverseGamma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

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

tf.contrib.distributions.Distribution.is_continuous

tf.contrib.distributions.BetaWithSoftplusAB.variance(name='variance') Variance.

tf.contrib.distributions.Poisson.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

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

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function.

tf.contrib.distributions.Categorical.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given