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

tf.contrib.distributions.Gamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

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

tf.contrib.learn.monitors.CaptureVariable.epoch_begin(epoch) Begin epoch. Args:

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

tf.contrib.distributions.DirichletMultinomial.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.learn.monitors.StopAtStep.run_on_all_workers

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

tf.contrib.framework.assert_scalar_int(tensor) Assert tensor is 0-D, of type tf.int32 or tf.int64