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

tf.contrib.distributions.MultivariateNormalDiag.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalDiag')

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.batch_shape(name='batch_shape') Shape of a single sample from

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

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

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

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

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

class tf.contrib.distributions.Normal The scalar Normal distribution with mean and stddev parameters mu, sigma.