tf.contrib.distributions.TransformedDistribution.parameters Dictionary of parameters used by this Distribution.

tf.contrib.graph_editor.make_view_from_scope(scope, graph) Make a subgraph from a name scope. Args: scope: the name of the scope. graph: the tf.Graph. Returns: A subgraph view representing the given scope.

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value_type

tf.contrib.distributions.Mixture.mode(name='mode') Mode.

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

TTypes<T>::ConstVec tensorflow::Tensor::vec() const Const versions of all the methods above.

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

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

tf.contrib.learn.LinearClassifier.export(export_dir, input_fn=None, input_feature_key=None, use_deprecated_input_fn=True, signature_fn=None, default_batch_size=1, exports_to_keep=None) See BaseEstimator.export.

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value_type