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

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

tf.contrib.distributions.StudentT.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.BernoulliWithSigmoidP.log_survival_function(value, name='log_survival_function') Log survival function

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

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

tf.contrib.distributions.LaplaceWithSoftplusScale.pdf(value, name='pdf') Probability density function.

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

tf.contrib.distributions.StudentT.variance(name='variance') Variance. Additional documentation

tf.contrib.distributions.BetaWithSoftplusAB.dtype The DType of Tensors handled by this Distribution