class tf.contrib.distributions.BernoulliWithSigmoidP Bernoulli with p = sigmoid(p).

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

tf.contrib.distributions.Uniform.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.Bernoulli.__init__(logits=None, p=None, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='Bernoulli')

tf.contrib.distributions.ExponentialWithSoftplusLam.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.distributions.ExponentialWithSoftplusLam.pmf(value, name='pmf') Probability mass function.

tf.contrib.distributions.BernoulliWithSigmoidP.survival_function(value, name='survival_function') Survival function.

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

class tf.contrib.distributions.Gamma The Gamma distribution with parameter alpha and beta. The

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