spark CorrelationExample 源码
spark CorrelationExample 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/ml/CorrelationExample.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.linalg.{Matrix, Vectors}
import org.apache.spark.ml.stat.Correlation
import org.apache.spark.sql.Row
// $example off$
import org.apache.spark.sql.SparkSession
/**
* An example for computing correlation matrix.
* Run with
* {{{
* bin/run-example ml.CorrelationExample
* }}}
*/
object CorrelationExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("CorrelationExample")
.getOrCreate()
import spark.implicits._
// $example on$
val data = Seq(
Vectors.sparse(4, Seq((0, 1.0), (3, -2.0))),
Vectors.dense(4.0, 5.0, 0.0, 3.0),
Vectors.dense(6.0, 7.0, 0.0, 8.0),
Vectors.sparse(4, Seq((0, 9.0), (3, 1.0)))
)
val df = data.map(Tuple1.apply).toDF("features")
val Row(coeff1: Matrix) = Correlation.corr(df, "features").head
println(s"Pearson correlation matrix:\n $coeff1")
val Row(coeff2: Matrix) = Correlation.corr(df, "features", "spearman").head
println(s"Spearman correlation matrix:\n $coeff2")
// $example off$
spark.stop()
}
}
// scalastyle:on println
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