streaming.dsl.mmlib.algs.feature.DiscretizerIntFeature.scala Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
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package streaming.dsl.mmlib.algs.feature
import org.apache.spark.ml.feature.{PCA, VectorAssembler}
import org.apache.spark.sql._
/**
* Created by allwefantasy on 15/5/2018.
*/
object DiscretizerIntFeature extends BaseFeatureFunctions {
def vectorize(df: DataFrame, mappingPath: String, fields: Seq[String]) = {
// assemble double fields
val _features_ = "_features_"
val assembler = new VectorAssembler()
.setInputCols(fields.toArray)
.setOutputCol(_features_)
var newDF = assembler.transform(df)
val pca = new PCA()
.setInputCol(_features_)
.setOutputCol("_discretizerIntFeature_")
.setK(3)
.fit(newDF)
pca.write.overwrite().save(mappingPath + "/discretizerIntFeature/pca")
newDF = pca.transform(newDF)
(fields ++ Seq("_features_")).foreach { f =>
newDF = newDF.drop(f)
}
newDF
}
}