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

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

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed by the distribution Dirichlet.

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

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

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.value_type

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

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

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.name

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.name

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

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