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Posted to commits@spark.apache.org by me...@apache.org on 2014/12/30 02:17:21 UTC
spark git commit: [SPARK-4972][MLlib] Updated the scala doc for lasso
and ridge regression for the change of LeastSquaresGradient
Repository: spark
Updated Branches:
refs/heads/master 343db392b -> 040d6f2d1
[SPARK-4972][MLlib] Updated the scala doc for lasso and ridge regression for the change of LeastSquaresGradient
In #SPARK-4907, we added factor of 2 into the LeastSquaresGradient. We updated the scala doc for lasso and ridge regression here.
Author: DB Tsai <db...@alpinenow.com>
Closes #3808 from dbtsai/doc and squashes the following commits:
ec3c989 [DB Tsai] first commit
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/040d6f2d
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/040d6f2d
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/040d6f2d
Branch: refs/heads/master
Commit: 040d6f2d13b132b3ef2a1e4f12f9f0e781c5a0b8
Parents: 343db39
Author: DB Tsai <db...@alpinenow.com>
Authored: Mon Dec 29 17:17:12 2014 -0800
Committer: Xiangrui Meng <me...@databricks.com>
Committed: Mon Dec 29 17:17:12 2014 -0800
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mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala | 2 +-
.../scala/org/apache/spark/mllib/regression/RidgeRegression.scala | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/040d6f2d/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
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diff --git a/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
index f9791c6..8ecd5c6 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
@@ -45,7 +45,7 @@ class LassoModel (
/**
* Train a regression model with L1-regularization using Stochastic Gradient Descent.
* This solves the l1-regularized least squares regression formulation
- * f(weights) = 1/n ||A weights-y||^2 + regParam ||weights||_1
+ * f(weights) = 1/2n ||A weights-y||^2 + regParam ||weights||_1
* Here the data matrix has n rows, and the input RDD holds the set of rows of A, each with
* its corresponding right hand side label y.
* See also the documentation for the precise formulation.
http://git-wip-us.apache.org/repos/asf/spark/blob/040d6f2d/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
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diff --git a/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
index c8cad77..076ba35 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
@@ -45,7 +45,7 @@ class RidgeRegressionModel (
/**
* Train a regression model with L2-regularization using Stochastic Gradient Descent.
* This solves the l1-regularized least squares regression formulation
- * f(weights) = 1/n ||A weights-y||^2 + regParam/2 ||weights||^2
+ * f(weights) = 1/2n ||A weights-y||^2 + regParam/2 ||weights||^2
* Here the data matrix has n rows, and the input RDD holds the set of rows of A, each with
* its corresponding right hand side label y.
* See also the documentation for the precise formulation.
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