tf.contrib.distributions.NormalWithSoftplusSigma.validate_args Python boolean indicated possibly expensive checks are enabled

tf.contrib.distributions.ExponentialWithSoftplusLam.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Categorical.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.Dirichlet.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mean(name='mean') Mean. Additional

tf.contrib.distributions.Exponential.mode(name='mode') Mode. Additional documentation from

tf.contrib.distributions.Beta.__init__(a, b, validate_args=False, allow_nan_stats=True, name='Beta') Initialize a batch of Beta

tf.contrib.distributions.Bernoulli.std(name='std') Standard deviation.

tf.contrib.distributions.Chi2WithAbsDf.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

tf.contrib.distributions.Multinomial.validate_args Python boolean indicated possibly expensive checks are enabled.