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

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

tf.contrib.distributions.Uniform.range(name='range') b - a.

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

tf.contrib.distributions.Distribution.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

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

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

tf.contrib.distributions.MultivariateNormalCholesky.mu

tf.contrib.distributions.Exponential.entropy(name='entropy') Shanon entropy in nats. Additional

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