tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.distribution

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

tf.contrib.distributions.Binomial.std(name='std') Standard deviation.

tf.contrib.graph_editor.check_cios(control_inputs=False, control_outputs=None, control_ios=None) Do various check on control_inputs

tf.contrib.learn.monitors.StepCounter.set_estimator(estimator)

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.name

tf.contrib.distributions.StudentT.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentT') Construct

tf.contrib.distributions.TransformedDistribution.is_reparameterized

tf.ReaderBase.supports_serialize Whether the Reader implementation can serialize its state.

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy(name='entropy')