tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.input_dict

tf.FixedLenSequenceFeature.__getstate__() Exclude the OrderedDict from pickling

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.clone(name=None, **dist_args)

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

tf.contrib.distributions.Chi2WithAbsDf.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.contrib.distributions.Dirichlet.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

tf.contrib.distributions.Chi2WithAbsDf.log_cdf(value, name='log_cdf') Log cumulative distribution function.

class tf.contrib.learn.monitors.GraphDump Dumps almost all tensors in the graph at every step. Note