tf.contrib.distributions.WishartCholesky.cdf(value, name='cdf') Cumulative distribution function. Given
tf.contrib.distributions.MultivariateNormalCholesky.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of
class tf.contrib.distributions.GammaWithSoftplusAlphaBeta Gamma with softplus transform on alpha and beta
tf.contrib.distributions.Chi2.df
tf.contrib.distributions.StudentT.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D
tf.contrib.distributions.Uniform.is_continuous
tf.contrib.distributions.TransformedDistribution.variance(name='variance') Variance.
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.entropy(name='entropy') Shanon entropy in nats.
tf.contrib.distributions.WishartCholesky.__init__(df, scale, cholesky_input_output_matrices=False, validate_args=False, allow_nan_stats=True, name='WishartCholesky')
tf.contrib.distributions.Distribution.dtype The DType of Tensors handled by this Distribution
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