tf.contrib.distributions.Gamma.std(name='std') Standard deviation.

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

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized

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

tf.contrib.distributions.Binomial.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.param_static_shapes(cls, sample_shape) param_shapes with static

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

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