tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.clone()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor

class tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor MultivariateNormalDiagPlusVDVTTensor is a StochasticTensor backed by the distribution MultivariateNormalDiagPlusVDVT.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.__init__()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.mean()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.loss()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.graph