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

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

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

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

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

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

tf.contrib.distributions.Poisson.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

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

tf.contrib.distributions.Mixture.prob(value, name='prob') Probability density/mass function (depending on is_continuous)