ODIn/spark-instrumented-optimizer
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Rename classes to be called DataGenerator

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This commit is contained in:
Shivaram Venkataraman 2013-07-18 11:57:14 -07:00
parent 7ab1170503
commit 2c9ea56db4
2 changed files with 2 additions and 3 deletions
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mllib/src/main/scala/spark/mllib/util/LogisticRegressionGenerator.scala → mllib/src/main/scala/spark/mllib/util/LogisticRegressionDataGenerator.scala
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5
mllib/src/main/scala/spark/mllib/util/RidgeRegressionGenerator.scala → mllib/src/main/scala/spark/mllib/util/RidgeRegressionDataGenerator.scala
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@ -23,8 +23,7 @@ import org.jblas.DoubleMatrix
import spark.{RDD, SparkContext}
object RidgeRegressionGenerator {
object RidgeRegressionDataGenerator {
/**
* Generate an RDD containing test data used for RidgeRegression. This function generates
@ -82,7 +81,7 @@ object RidgeRegressionGenerator {
val parts: Int = if (args.length > 4) args(4).toInt else 2
val eps = 10
val sc = new SparkContext(sparkMaster, "RidgeRegressionGenerator")
val sc = new SparkContext(sparkMaster, "RidgeRegressionDataGenerator")
val data = generateRidgeRDD(sc, nexamples, nfeatures, eps, parts)
MLUtils.saveLabeledData(data, outputPath)