tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value(name='value')

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

class tf.contrib.bayesflow.stochastic_tensor.PoissonTensor PoissonTensor is a StochasticTensor backed

tf.nn.rnn_cell.MultiRNNCell.__call__(inputs, state, scope=None) Run this multi-layer cell on inputs, starting from state.

tf.sparse_merge(sp_ids, sp_values, vocab_size, name=None, already_sorted=False) Combines a batch of feature ids and values into

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

tf.ifft(input, name=None) Compute the inverse 1-dimensional discrete Fourier Transform over the inner-most

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

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

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