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.Dirichlet.variance(name='variance') Variance.
tf.contrib.distributions.NormalWithSoftplusSigma.validate_args Python boolean indicated possibly expensive checks are enabled
tf.contrib.distributions.Laplace.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor
tf.contrib.distributions.Poisson.log_survival_function(value, name='log_survival_function') Log survival function.
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.cdf(value, name='cdf') Cumulative distribution function.
tf.contrib.distributions.Beta.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='GammaWithSoftplusAlphaBeta')
tf.contrib.distributions.Normal.name Name prepended to all ops created by this Distribution.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.log_prob(value, name='log_prob') Log probability density/mass function
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