class tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor BernoulliWithSigmoidPTensor is a StochasticTensor backed by the distribution BernoulliWithSigmoidP.

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss(final_loss, name='Loss')

tf.contrib.distributions.StudentT.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.contrib.learn.LinearRegressor.bias_

class tf.contrib.graph_editor.matcher Graph match class.

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.graph

tf.contrib.distributions.Exponential.lam