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

tf.contrib.learn.Estimator.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See

tf.contrib.learn.DNNClassifier.export(export_dir, input_fn=None, input_feature_key=None, use_deprecated_input_fn=True, signature_fn=None, default_batch_size=1, expo

tf.contrib.learn.TensorFlowRNNRegressor.config

tf.contrib.learn.run_feeds(*args, **kwargs) See run_feeds_iter(). Returns a list instead of an iterator.

tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

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

Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')