Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/6927#discussion_r32903263
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/LinearRegressionSuite.scala
---
@@ -78,6 +85,49 @@ class LinearRegressionSuite extends SparkFunSuite with
MLlibTestSparkContext {
}
}
+ test("linear regression without intercept without regularization") {
+ val trainer = (new LinearRegression).setFitIntercept(false)
+ val model = trainer.fit(dataset)
+ val modelNR = trainer.fit(datasetNR)
+
+ /**
+ * Using the following R code to load the data and train the model
using glmnet package.
+ *
+ * library("glmnet")
+ * data <- read.csv("path", header=FALSE, stringsAsFactors=FALSE)
+ * features <- as.matrix(data.frame(as.numeric(data$V2),
as.numeric(data$V3)))
+ * label <- as.numeric(data$V1)
--- End diff --
Remove from `Using` up to `label` since it already docuemnted before.
Also, in the following glmnet code, please add `intercept=FALSE`
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