tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.name

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.value(name='value')

tf.contrib.distributions.Dirichlet.mean(name='mean') Mean.

tf.contrib.learn.LinearClassifier.predict(x=None, input_fn=None, batch_size=None, as_iterable=False) Runs inference to determine the predicted class.

tf.contrib.learn.monitors.ValidationMonitor.best_step Returns the step at which the best early stopping metric was found.

tf.contrib.learn.Estimator.config

class tf.contrib.graph_editor.OpMatcher Graph match class.

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.clone(name=None, **dist_args)