tf.contrib.distributions.BetaWithSoftplusAB.a_b_sum Sum of parameters.
tf.contrib.distributions.Exponential.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.cdf(value, name='cdf') Cumulative distribution function.
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.validate_args Python boolean indicated possibly expensive checks are enabled
tf.contrib.distributions.StudentT.validate_args Python boolean indicated possibly expensive checks are enabled.
tf.contrib.distributions.InverseGamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='InverseGamma') Construct
tf.contrib.distributions.Normal.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='Normal') Construct Normal
tf.contrib.distributions.StudentT.allow_nan_stats Python boolean describing behavior when a stat is undefined.
tf.contrib.distributions.WishartCholesky.validate_args Python boolean indicated possibly expensive checks are enabled.
tf.contrib.distributions.Categorical.get_batch_shape() Shape of a single sample from a single event index as a TensorShape
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