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e816c777eb
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4 Commits

Author SHA1 Message Date
Yan Shang
e816c777eb Add regularization for sparse features 
Reviewed By: xianjiec

Differential Revision: D5767997

fbshipit-source-id: b9b7c47d11417fbe67d861a2a6b4daa38adbe57b
 2018-02-02 16:03:32 -08:00
Yan Shang
41bb662d96 add dense regularization 
Reviewed By: xianjiec

Differential Revision: D5617571

fbshipit-source-id: 875d7c8753bdb3b6847d5e3f47ad8568cdf172f8
 2018-01-08 13:03:17 -08:00
Yangqing Jia
8286ce1e3a Re-license to Apache 
Summary: Closes https://github.com/caffe2/caffe2/pull/1260

Differential Revision: D5906739

Pulled By: Yangqing

fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
 2017-09-28 16:22:00 -07:00
Honghao Wei
e76015040a add regulariztion in caffe2 and dper 
Summary:
Regularization added for caffe2 and dper.

This regularization is intended for `dense feature `only. Sparse feature would serve as individual optimizer, see ` D5618405 ` and  `D5534579` for details.

The implementation of dense regularization is similar to the ones in optimizer. we now support `l1 norm` and  ` l2 norm` in regularizer. In dper, we would call different regularization based on regularization type defined in model_definition.thrift.

Reviewed By: xianjiec

Differential Revision: D5724851

fbshipit-source-id: 0fbee698cfeff1ac477fc9d07785406069f8d9c8
 2017-09-08 11:39:22 -07:00