tf.contrib.distributions.Beta.is_reparameterized

tf.contrib.distributions.Poisson.mode(name='mode') Mode. Additional documentation from Poisson:

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

class tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta Inverse Gamma with softplus applied to alpha and

tf.contrib.distributions.TransformedDistribution.log_det_jacobian Function computing the log determinant of the Jacobian of transform

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

tf.contrib.distributions.Normal.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

class tf.contrib.distributions.Mixture Mixture distribution. The Mixture object implements

tf.contrib.distributions.Mixture.cat

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