tf.contrib.distributions.Distribution.mean(name='mean') Mean.
class tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta Inverse Gamma with softplus applied to alpha and
tf.contrib.distributions.Binomial.cdf(value, name='cdf') Cumulative distribution function. Given
tf.contrib.distributions.Laplace.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor
tf.contrib.distributions.WishartFull.pdf(value, name='pdf') Probability density function. Args:
tf.contrib.distributions.WishartFull.df Wishart distribution degree(s) of freedom.
tf.contrib.distributions.Distribution.get_batch_shape() Shape of a single sample from a single event index as a TensorShape
tf.contrib.distributions.Chi2.__init__(df, validate_args=False, allow_nan_stats=True, name='Chi2') Construct Chi2 distributions
tf.contrib.distributions.Binomial.variance(name='variance') Variance.
tf.contrib.distributions.MultivariateNormalCholesky.allow_nan_stats Python boolean describing behavior when a stat is undefined
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