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

    https://github.com/apache/spark/pull/1155#discussion_r14504853
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala 
---
    @@ -0,0 +1,134 @@
    +/*
    + * 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.evaluation
    +
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.Logging
    +import org.apache.spark.SparkContext._
    +
    +/**
    + * Evaluator for multiclass classification.
    + * NB: type Double both for prediction and label is retained
    + * for compatibility with model.predict that returns Double
    + * and MLUtils.loadLibSVMFile that loads class labels as Double
    + *
    + * @param predictionsAndLabels an RDD of (prediction, label) pairs.
    + */
    +class MulticlassMetrics(predictionsAndLabels: RDD[(Double, Double)]) 
extends Logging {
    +
    +  /* class = category; label = instance of class; prediction = instance of 
class */
    +
    +  private lazy val labelCountByClass = 
predictionsAndLabels.values.countByValue()
    +  private lazy val labelCount = labelCountByClass.foldLeft(0L){case(sum, 
(_, count)) => sum + count}
    +  private lazy val tpByClass = predictionsAndLabels.map{ case (prediction, 
label) =>
    --- End diff --
    
    Please follow [Spark Code Style 
Guide](https://cwiki.apache.org/confluence/display/SPARK/Spark+Code+Style+Guide)
 and code style used in the code base.
    
    ~~~
    .map { case (prediction, label) =>
      (label, if (label == prediction) 1 else 0)
    }.reduceByKey(_ + _)
    .collectAsMap()
    ~~~
    
    1) new line after " =>"
    2) space after "if"
    3) change "{ }" to "( )"
    4) use "()" for an action


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