tf.contrib.distributions.WishartFull.std(name='std') Standard deviation.

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

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

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

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

tf.contrib.distributions.BetaWithSoftplusAB.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.Distribution.__init__(dtype, parameters, is_continuous, is_reparameterized, validate_args, allow_nan_stats, name=None)

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

tf.contrib.distributions.Beta.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.ExponentialWithSoftplusLam.mode(name='mode') Mode. Additional documentation