tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

tf.contrib.distributions.Chi2WithAbsDf.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.contrib.distributions.Mixture.pdf(value, name='pdf') Probability density function. Args:

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

tf.contrib.distributions.Exponential.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.dtype

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

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