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

tf.contrib.learn.monitors.PrintTensor.post_step(step, session)

tf.contrib.distributions.Binomial.std(name='std') Standard deviation.

tf.contrib.distributions.Mixture.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.distribution

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

tf.contrib.rnn.TimeFreqLSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

tf.assert_proper_iterable(values) Static assert that values is a "proper" iterable. Ops

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

tf.contrib.learn.TensorFlowEstimator.set_params(**params) Set the parameters of this estimator. The