tf.contrib.learn.NanLossDuringTrainingError.__str__()

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

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

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

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

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.name Name prepended to all ops created by this Distribution.

class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a

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

tf.contrib.distributions.QuantizedDistribution.variance(name='variance') Variance.