tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

tf.contrib.distributions.Chi2.survival_function(value, name='survival_function') Survival function. Given

tf.nn.rnn_cell.BasicLSTMCell.state_size

tf.contrib.distributions.Gamma.log_survival_function(value, name='log_survival_function') Log survival function.

tf.contrib.distributions.LaplaceWithSoftplusScale.mode(name='mode') Mode.

tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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

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

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

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.mean(name='mean')