Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/15211#discussion_r95928470
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/LinearSVCSuite.scala ---
@@ -119,6 +140,35 @@ class LinearSVCSuite extends SparkFunSuite with
MLlibTestSparkContext with Defau
dataset.as[LabeledPoint], estimator, modelEquals, 42L)
}
+ test("linearSVC comparison with R e1071") {
+ val trainer1 = (new LinearSVC).setFitIntercept(true).setMaxIter(100)
+ val model1 = trainer1.fit(binaryDataset)
+
+ /*
+ Use the following R code to load the data and train the model using
glmnet package.
+
+ library(e1071)
+ data <-
read.csv("/home/yuhao/workspace/github/hhbyyh/Test/SVM/svm/part-00000",
header=FALSE)
+ label <- factor(data$V1)
+ features <- as.matrix(data.frame(data$V2, data$V3, data$V4, data$V5))
+ svm_model <- svm(features, label, type='C', kernel='linear',
cost=10, scale=F)
+ w <- t(svm_model$coefs) %*% svm_model$SV
+ w
+ -svm_model$rho
+
+ > w
+ data.V2 data.V3 data.V4 data.V5
+ [1,] -7.310475 -14.89742 -22.21019 -29.83495
+ > -svm_model$rho
+ [1] -7.440296
+
+ */
+ val coefficientsR = Vectors.dense(-7.310475, -14.89742, -22.21019,
-29.83495)
+ val interceptR = -7.440296
+ assert(model1.intercept / interceptR ~== -0.9 relTol 2E-2)
--- End diff --
This is a strange way to write the comparison. Was this a temporary thing
to make the tests pass?
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