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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mean(name='mean') Mean. Additional documentation

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_continuous

tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.

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

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

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

tf.contrib.distributions.DirichletMultinomial.alpha Parameter defining this distribution.

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