tf.contrib.distributions.Dirichlet.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

tf.contrib.distributions.InverseGamma.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

tf.contrib.distributions.NormalWithSoftplusSigma.sigma Distribution parameter for standard deviation.

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

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

tf.contrib.distributions.Distribution.cdf(value, name='cdf') Cumulative distribution function. Given

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

tf.contrib.distributions.WishartCholesky.log_pdf(value, name='log_pdf') Log probability density function.

tf.contrib.distributions.Poisson.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.Dirichlet.__init__(alpha, validate_args=False, allow_nan_stats=True, name='Dirichlet') Initialize a batch