tf.contrib.distributions.Binomial.is_continuous

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.distributions.MultivariateNormalFull.pdf(value, name='pdf') Probability density function. Args:

tf.test.assert_equal_graph_def(actual, expected) Asserts that two GraphDefs are (mostly) the same.

tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.mean(name='mean')

tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs) Applies the same layer with the same arguments repeatedly

tf.contrib.graph_editor.SubGraphView.inputs The input tensors of this subgraph view.

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

tf.Session.close() Closes this session. Calling this method frees all resources associated with

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)