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Module: tf.contrib.kernel_methods

Defined in tensorflow/contrib/kernel_methods/__init__.py.

Ops and estimators that enable explicit kernel methods in TensorFlow.

Classes

class KernelLinearClassifier: Linear classifier using kernel methods as feature preprocessing.

class RandomFourierFeatureMapper: Class that implements Random Fourier Feature Mapping (RFFM) in TensorFlow.

Functions

sparse_multiclass_hinge_loss(...): Adds Ops for computing the multiclass hinge loss.

Other Members

__cached__

__loader__

__spec__

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/kernel_methods