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

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.entropy()

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

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

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor

class tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor CategoricalTensor is a StochasticTensor backed by the distribution Categorical.

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

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name