tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentTWithAbsDfSoftplusSigma')

tf.contrib.graph_editor.sgv_scope(scope, graph) Make a subgraph from a name scope. Args:

tf.contrib.distributions.Binomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.distributions.TransformedDistribution.is_continuous

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

tf.contrib.learn.monitors.StepCounter.run_on_all_workers

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

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

tf.contrib.distributions.Normal.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function.