tf.contrib.distributions.InverseGamma.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.Mixture.cat

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

tf.contrib.distributions.LaplaceWithSoftplusScale.scale Distribution parameter for scale.

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

tf.contrib.distributions.WishartCholesky.__init__(df, scale, cholesky_input_output_matrices=False, validate_args=False, allow_nan_stats=True, name='WishartCholesky')

tf.contrib.distributions.Normal.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.Bernoulli.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.Chi2.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

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