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

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor

class tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor MultivariateNormalCholeskyTensor is a StochasticTensor backed by the distribution MultivariateNormalCholesky.

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

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

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.value_type

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

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

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.name

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

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