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

tf.contrib.distributions.Categorical.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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

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

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

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

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

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

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

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