Github user LIDIAgroup commented on a diff in the pull request:
https://github.com/apache/spark/pull/216#discussion_r11019805
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/discretization/EntropyMinimizationDiscretizer.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 EntropyMinimizationDiscretizer private (
+ @transient var data: RDD[LabeledPoint],
+ @transient var continousFeatures: Seq[Int],
+ var elementsPerPartition: Int = 18000,
--- End diff --
I've made a really simple test to determine which ratio was faster in my
case. But I think this would be different in each cluster and, therefore, it's
configurable.
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