tf.contrib.distributions.Mixture.num_components

tf.contrib.distributions.MultivariateNormalCholesky.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if not is_continuous.

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

tf.contrib.distributions.Gamma.beta Inverse scale parameter.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if not is_continuous.

tf.contrib.graph_editor.reroute_b2a(sgv0, sgv1) Re-route the inputs and outputs of sgv1 to sgv0 (see _reroute).

class tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor InverseGammaTensor is a StochasticTensor backed by the distribution InverseGamma.

tf.ReaderBase.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

tf.IdentityReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

class tf.contrib.bayesflow.stochastic_tensor.StudentTTensor StudentTTensor is a StochasticTensor backed by the distribution StudentT.