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

tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When

tf.contrib.distributions.Categorical.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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