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

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

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor

class tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor WishartFullTensor is a StochasticTensor backed by the distribution WishartFull.

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

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

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.value_type

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

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

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.name

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.name

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

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

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

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

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph