spark VectorSizeHintExample 源码
spark VectorSizeHintExample 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/ml/VectorSizeHintExample.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file 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
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// scalastyle:off println
package org.apache.spark.examples.ml
// $example on$
import org.apache.spark.ml.feature.{VectorAssembler, VectorSizeHint}
import org.apache.spark.ml.linalg.Vectors
// $example off$
import org.apache.spark.sql.SparkSession
object VectorSizeHintExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("VectorSizeHintExample")
.getOrCreate()
// $example on$
val dataset = spark.createDataFrame(
Seq(
(0, 18, 1.0, Vectors.dense(0.0, 10.0, 0.5), 1.0),
(0, 18, 1.0, Vectors.dense(0.0, 10.0), 0.0))
).toDF("id", "hour", "mobile", "userFeatures", "clicked")
val sizeHint = new VectorSizeHint()
.setInputCol("userFeatures")
.setHandleInvalid("skip")
.setSize(3)
val datasetWithSize = sizeHint.transform(dataset)
println("Rows where 'userFeatures' is not the right size are filtered out")
datasetWithSize.show(false)
val assembler = new VectorAssembler()
.setInputCols(Array("hour", "mobile", "userFeatures"))
.setOutputCol("features")
// This dataframe can be used by downstream transformers as before
val output = assembler.transform(datasetWithSize)
println("Assembled columns 'hour', 'mobile', 'userFeatures' to vector column 'features'")
output.select("features", "clicked").show(false)
// $example off$
spark.stop()
}
}
// scalastyle:on println
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