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tf.train.sdca_shrink_l1

tf.train.sdca_shrink_l1(
    weights,
    l1,
    l2,
    name=None
)

Defined in tensorflow/python/ops/gen_sdca_ops.py.

Applies L1 regularization shrink step on the parameters.

Args:

  • weights: A list of Tensor objects with type mutable float32. a list of vectors where each value is the weight associated with a feature group.
  • l1: A float. Symmetric l1 regularization strength.
  • l2: A float. Symmetric l2 regularization strength. Should be a positive float.
  • name: A name for the operation (optional).

Returns:

The created Operation.

© 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/train/sdca_shrink_l1