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

tf.contrib.distributions.MultivariateNormalFull.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Bernoulli.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.distributions.Laplace.scale Distribution parameter for scale.

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.name

tf.contrib.distributions.Multinomial.log_survival_function(value, name='log_survival_function') Log survival function.

tf.errors.DeadlineExceededError.__init__(node_def, op, message) Creates a DeadlineExceededError.

tf.contrib.distributions.Bernoulli.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.graph_editor.get_ops_ios(ops, control_inputs=False, control_outputs=None, control_ios=None) Return all the tf.Operation

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