spark ElementwiseProductExample 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/ml/ElementwiseProductExample.scala
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/ scalastyle:off println
package org.apache.spark.examples.ml
/ $example on$
import org.apache.spark.ml.feature.ElementwiseProduct
import org.apache.spark.ml.linalg.Vectors
/ $example off$
import org.apache.spark.sql.SparkSession
object ElementwiseProductExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("ElementwiseProductExample")
.getOrCreate()
/ $example on$
/ Create some vector data; also works for sparse vectors
val dataFrame = spark.createDataFrame(Seq(
("a", Vectors.dense(1.0, 2.0, 3.0)),
("b", Vectors.dense(4.0, 5.0, 6.0)))).toDF("id", "vector")
val transformingVector = Vectors.dense(0.0, 1.0, 2.0)
val transformer = new ElementwiseProduct()
.setScalingVec(transformingVector)
.setInputCol("vector")
.setOutputCol("transformedVector")
/ Batch transform the vectors to create new column:
transformer.transform(dataFrame).show()
/ $example off$
spark.stop()
}
}
/ scalastyle:on println
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