spark FeatureHasherExample 源码
spark FeatureHasherExample 代码
文件路径:/examples/src/main/scala/org/apache/spark/examples/ml/FeatureHasherExample.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.
*/
package org.apache.spark.examples.ml
// $example on$
import org.apache.spark.ml.feature.FeatureHasher
// $example off$
import org.apache.spark.sql.SparkSession
object FeatureHasherExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("FeatureHasherExample")
.getOrCreate()
// $example on$
val dataset = spark.createDataFrame(Seq(
(2.2, true, "1", "foo"),
(3.3, false, "2", "bar"),
(4.4, false, "3", "baz"),
(5.5, false, "4", "foo")
)).toDF("real", "bool", "stringNum", "string")
val hasher = new FeatureHasher()
.setInputCols("real", "bool", "stringNum", "string")
.setOutputCol("features")
val featurized = hasher.transform(dataset)
featurized.show(false)
// $example off$
spark.stop()
}
}
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