From c9e05a315a96fbf3026a2b3c6934dd2dec420099 Mon Sep 17 00:00:00 2001
From: Holden Karau <holden@pigscanfly.ca>
Date: Fri, 26 Jun 2015 01:19:05 -0700
Subject: [PATCH] [SPARK-8613] [ML] [TRIVIAL] add param to disable linear
feature scaling
Add a param to disable linear feature scaling (to be implemented later in linear & logistic regression). Done as a seperate PR so we can use same param & not conflict while working on the sub-tasks.
Author: Holden Karau <holden@pigscanfly.ca>
Closes #7024 from holdenk/SPARK-8522-Disable-Linear_featureScaling-Spark-8613-Add-param and squashes the following commits:
ce8931a [Holden Karau] Regenerate the sharedParams code
fa6427e [Holden Karau] update text for standardization param.
7b24a2b [Holden Karau] generate the new standardization param
3c190af [Holden Karau] Add the standardization param to sharedparamscodegen
---
.../ml/param/shared/SharedParamsCodeGen.scala | 3 +++
.../spark/ml/param/shared/sharedParams.scala | 17 +++++++++++++++++
2 files changed, 20 insertions(+)
diff --git a/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala b/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
index 8ffbcf0d8b..b0a6af171c 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
@@ -53,6 +53,9 @@ private[shared] object SharedParamsCodeGen {
ParamDesc[Int]("checkpointInterval", "checkpoint interval (>= 1)",
isValid = "ParamValidators.gtEq(1)"),
ParamDesc[Boolean]("fitIntercept", "whether to fit an intercept term", Some("true")),
+ ParamDesc[Boolean]("standardization", "whether to standardize the training features" +
+ " prior to fitting the model sequence. Note that the coefficients of models are" +
+ " always returned on the original scale.", Some("true")),
ParamDesc[Long]("seed", "random seed", Some("this.getClass.getName.hashCode.toLong")),
ParamDesc[Double]("elasticNetParam", "the ElasticNet mixing parameter, in range [0, 1]." +
" For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty.",
diff --git a/mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala b/mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala
index a0c8ccdac9..bbe08939b6 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala
@@ -233,6 +233,23 @@ private[ml] trait HasFitIntercept extends Params {
final def getFitIntercept: Boolean = $(fitIntercept)
}
+/**
+ * (private[ml]) Trait for shared param standardization (default: true).
+ */
+private[ml] trait HasStandardization extends Params {
+
+ /**
+ * Param for whether to standardize the training features prior to fitting the model sequence. Note that the coefficients of models are always returned on the original scale..
+ * @group param
+ */
+ final val standardization: BooleanParam = new BooleanParam(this, "standardization", "whether to standardize the training features prior to fitting the model sequence. Note that the coefficients of models are always returned on the original scale.")
+
+ setDefault(standardization, true)
+
+ /** @group getParam */
+ final def getStandardization: Boolean = $(standardization)
+}
+
/**
* (private[ml]) Trait for shared param seed (default: this.getClass.getName.hashCode.toLong).
*/
--
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