tf.contrib.distributions.Binomial.__init__(n, logits=None, p=None, validate_args=False, allow_nan_stats=True, name='Binomial') Initialize

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

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

tf.contrib.distributions.BernoulliWithSigmoidP.logits

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.allow_nan_stats Python boolean describing behavior when a stat is undefined

tf.contrib.distributions.LaplaceWithSoftplusScale.get_batch_shape() Shape of a single sample from a single event index as a

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

tf.contrib.distributions.InverseGamma.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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