Skip to content

[MLLib]SPARK-5027:add SVMWithLBFGS interface in MLLIB #3890

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 12 commits into from
Closed

[MLLib]SPARK-5027:add SVMWithLBFGS interface in MLLIB #3890

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
12 commits
Select commit Hold shift + click to select a range
7ac9981
test git
loachli Jan 1, 2015
cbca8b7
Update testlzb
loachli Jan 1, 2015
5d54771
test lzb has been delete
loachli Jan 1, 2015
35aeecc
add testmastet.txt
loachli Jan 1, 2015
594583f
delete testmastet.txt
loachli Jan 1, 2015
f592605
Merge remote-tracking branch 'upstream/master'
loachli Jan 2, 2015
f9ae855
Merge remote-tracking branch 'upstream/master'
loachli Jan 4, 2015
19852dc
add SVMWithLBFGS and corresponding test case in mllib
loachli Jan 4, 2015
ddda43e
Merge remote-tracking branch 'upstream/master'
loachli Jan 6, 2015
020a9e2
Merge remote-tracking branch 'upstream/master'
loachli Jan 10, 2015
be0db7c
Merge remote-tracking branch 'upstream/master'
loachli Mar 22, 2015
202c34e
A change
loachli Mar 22, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 16 additions & 0 deletions mllib/src/main/scala/org/apache/spark/mllib/classification/SVM.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -239,3 +239,19 @@ object SVMWithSGD {
train(input, numIterations, 1.0, 0.01, 1.0)
}
}

/**
* Train a classification model for SVM using Limited-memory BFGS.
* NOTE: Labels used in SVM should be {0, 1}
*/
class SVMWithLBFGS
extends GeneralizedLinearAlgorithm[SVMModel] with Serializable {

override val optimizer = new LBFGS(new HingeGradient(), new SquaredL2Updater())

override protected val validators = List(DataValidators.binaryLabelValidator)

override protected def createModel(weights: Vector, intercept: Double) = {
new SVMModel(weights, intercept)
}
}
Loading