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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

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

tf.contrib.distributions.TransformedDistribution.mode(name='mode') Mode.

tf.contrib.distributions.Chi2WithAbsDf.log_prob(value, name='log_prob') Log probability density/mass function (depending on

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

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

tf.contrib.learn.TensorFlowRNNRegressor.partial_fit(x, y) Incremental fit on a batch of samples. This

tf.contrib.distributions.Uniform.pmf(value, name='pmf') Probability mass function. Args: