tf.contrib.learn.TensorFlowRNNClassifier.predict_proba(x, batch_size=None) Predict class probability of the input samples x

tf.contrib.learn.monitors.SummarySaver.every_n_post_step(step, session) Callback after a step is finished or end()

tf.contrib.learn.TensorFlowEstimator.get_variable_value(name) Returns value of the variable given by name.

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

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

class tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor Chi2Tensor is a StochasticTensor backed by the

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

tf.SparseTensor.eval(feed_dict=None, session=None) Evaluates this sparse tensor in a Session.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_survival_function(value, name='log_survival_function') Log

tf.contrib.learn.monitors.ValidationMonitor.set_estimator(estimator) A setter called automatically by the target estimator.