tf.contrib.distributions.Chi2WithAbsDf.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

tf.contrib.distributions.Categorical.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Normal.sigma Distribution parameter for standard deviation.

tf.contrib.learn.LinearClassifier.get_estimator()

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

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

tf.unique(x, out_idx=None, name=None) Finds unique elements in a 1-D tensor. This operation returns

tf.mod(x, y, name=None) Returns element-wise remainder of division. NOTE: Mod

tf.contrib.graph_editor.matcher.control_input_ops(*args) Add input matches.

tf.contrib.distributions.ExponentialWithSoftplusLam.parameters Dictionary of parameters used by this Distribution