spark KSTestWrapper 源码
spark KSTestWrapper 代码
文件路径：/mllib/src/main/scala/org/apache/spark/ml/r/KSTestWrapper.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.ml.r
import org.apache.spark.mllib.stat.Statistics.kolmogorovSmirnovTest
import org.apache.spark.mllib.stat.test.KolmogorovSmirnovTestResult
import org.apache.spark.sql.{DataFrame, Row}
private[r] class KSTestWrapper private (
val testResult: KolmogorovSmirnovTestResult,
val distName: String,
val distParams: Array[Double]) {
lazy val pValue = testResult.pValue
lazy val statistic = testResult.statistic
lazy val nullHypothesis = testResult.nullHypothesis
lazy val degreesOfFreedom = testResult.degreesOfFreedom
def summary: String = testResult.toString
}
private[r] object KSTestWrapper {
def test(
data: DataFrame,
featureName: String,
distName: String,
distParams: Array[Double]): KSTestWrapper = {
val rddData = data.select(featureName).rdd.map {
case Row(feature: Double) => feature
}
val ksTestResult = kolmogorovSmirnovTest(rddData, distName, distParams : _*)
new KSTestWrapper(ksTestResult, distName, distParams)
}
}
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