tf.contrib.distributions.Binomial.mean(name='mean') Mean.

tf.contrib.distributions.Gamma.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.distributions.NormalWithSoftplusSigma.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.contrib.distributions.Laplace.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

tf.contrib.distributions.Beta.is_continuous

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

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

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

tf.contrib.distributions.Beta.validate_args Python boolean indicated possibly expensive checks are enabled.