Github user srowen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13440#discussion_r218208383
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/tree/impurity/ChiSquared.scala ---
    @@ -0,0 +1,162 @@
    +/*
    + * 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.mllib.tree.impurity
    +
    +import org.apache.spark.annotation.{DeveloperApi, Experimental, Since}
    +
    +/**
    + * :: Experimental ::
    + * Class for calculating Chi Squared as a split quality metric during 
binary classification.
    + */
    +@Since("2.2.0")
    +@Experimental
    +object ChiSquared extends Impurity {
    +  private object CSTest extends 
org.apache.commons.math3.stat.inference.ChiSquareTest()
    +
    +  /**
    +   * Get this impurity instance.
    +   * This is useful for passing impurity parameters to a Strategy in Java.
    +   */
    +  @Since("1.1.0")
    --- End diff --
    
    I think I'd label all these as Since 2.5.0 even if they override a method 
that existed earlier. 


---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to