tf.contrib.distributions.Bernoulli.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized

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

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

tf.contrib.learn.monitors.SummarySaver.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.contrib.distributions.BetaWithSoftplusAB.a_b_sum Sum of parameters.

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.validate_args Python boolean indicated possibly expensive checks are enabled