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

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.clone(name=None, **dist_args)

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

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.erfc(x, name=None) Computes the complementary error function of x element-wise. Args:

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.event_shape(name='event_shape') Shape of a single sample from a single

tf.SparseTensor.__init__(indices, values, shape) Creates a SparseTensor. Args:

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.entropy(name='entropy')