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

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

tf.contrib.distributions.MultivariateNormalCholesky.sigma_det(name='sigma_det') Determinant of covariance matrix.

tf.contrib.distributions.QuantizedDistribution.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

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

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

tf.contrib.distributions.Uniform.b

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

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