tf.contrib.metrics.set_union(a, b, validate_indices=True) Compute set union of elements in last dimension of a and

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

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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.graph

tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This

tf.contrib.distributions.Bernoulli.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x.

tf.contrib.distributions.Dirichlet.is_reparameterized

tf.contrib.learn.TensorFlowEstimator.config