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

string tensorflow::Tensor::DebugString() const A human-readable summary of the tensor suitable for debugging.

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

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