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

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

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

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.dtype

tf.contrib.learn.TensorFlowRNNRegressor.restore(cls, path, config=None) Restores model from give path.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss(final_loss, name='Loss')

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

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

tf.contrib.learn.monitors.SummarySaver.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value(name='value')