Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/216#discussion_r10897487
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/discretization/EMDDiscretizer.scala
---
@@ -0,0 +1,402 @@
+/*
+* 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.discretization
+
+import scala.collection.mutable.Stack
+import org.apache.spark.SparkContext._
+import org.apache.spark.mllib.util.InfoTheory
+import org.apache.spark.rdd.RDD
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.mllib.regression.LabeledPoint
+import scala.collection.mutable
+
+
+/**
+ * This class contains methods to discretize continuous values with the
method proposed in
+ * [Fayyad and Irani, Multi-Interval Discretization of Continuous-Valued
Attributes, 1993]
+ */
+class EMDDiscretizer private (
--- End diff --
The name `EMD` is not a common acronym for the algorithm. `MDLP` was used
in the paper and `MDL` was used in derived work. But I do think `MDL` is more
confusing. Shall we call it `EntropyMinimizationDiscretizer`?
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