tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.log_prob(value, name='log_prob') Log probability density/mass function

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

tf.contrib.distributions.LaplaceWithSoftplusScale.loc Distribution parameter for the location.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.dtype The DType of Tensors handled

tf.contrib.distributions.Chi2WithAbsDf.std(name='std') Standard deviation.

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

tf.contrib.distributions.Chi2WithAbsDf.df

tf.contrib.distributions.WishartCholesky.batch_shape(name='batch_shape') Shape of a single sample from a single event index as

tf.contrib.distributions.MultivariateNormalCholesky.mode(name='mode') Mode.

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