tf.contrib.distributions.Binomial.__init__(n, logits=None, p=None, validate_args=False, allow_nan_stats=True, name='Binomial') Initialize

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

tf.contrib.distributions.DirichletMultinomial.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Mixture.is_reparameterized

tf.contrib.distributions.WishartFull.dtype The DType of Tensors handled by this Distribution

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

tf.contrib.distributions.MultivariateNormalFull.sigma_det(name='sigma_det') Determinant of covariance matrix.

tf.contrib.distributions.Distribution.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Chi2WithAbsDf.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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