tf.contrib.distributions.NormalWithSoftplusSigma.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.Chi2.dtype The DType of Tensors handled by this Distribution.

tf.contrib.learn.TensorFlowRNNRegressor.fit(x, y, steps=None, monitors=None, logdir=None) Neural network model from provided

tf.contrib.distributions.WishartCholesky.variance(name='variance') Variance.

tf.contrib.graph_editor.get_walks_intersection_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False

tf.contrib.distributions.MultivariateNormalDiag.mean(name='mean') Mean.

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.ExponentialWithSoftplusLam.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.InverseGamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='InverseGamma') Construct

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.dtype