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
tf.contrib.distributions.TransformedDistribution.log_prob(value, name='log_prob') Log probability density/mass function (depending
tf.contrib.distributions.StudentT.name Name prepended to all ops created by this Distribution.
tf.contrib.distributions.Laplace.is_reparameterized
tf.contrib.distributions.TransformedDistribution.log_pmf(value, name='log_pmf') Log probability mass function.
tf.contrib.distributions.BernoulliWithSigmoidP.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)
tf.contrib.distributions.Gamma.get_event_shape() Shape of a single sample from a single batch as a TensorShape.
tf.contrib.distributions.TransformedDistribution.get_event_shape() Shape of a single sample from a single batch as a TensorShape
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