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

tf.contrib.distributions.Laplace.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.DirichletMultinomial.__init__(n, alpha, validate_args=False, allow_nan_stats=True, name='DirichletMultinomial')

class tf.contrib.distributions.GammaWithSoftplusAlphaBeta Gamma with softplus transform on alpha and beta

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.dtype The DType of Tensors handled by this

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.Chi2WithAbsDf.std(name='std') Standard deviation.

tf.contrib.distributions.TransformedDistribution.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

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