tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

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

tf.contrib.distributions.Gamma.std(name='std') Standard deviation.

class tf.FixedLenFeature Configuration for parsing a fixed-length input feature. To treat sparse

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

tf.contrib.learn.monitors.CaptureVariable.post_step(step, session)

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

tf.contrib.distributions.DirichletMultinomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value_type

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