From 84a6982b35d87483bdf70ef4423cc4c8e0c3feb1 Mon Sep 17 00:00:00 2001
From: Meihua Wu <meihuawu@umich.edu>
Date: Sat, 1 Aug 2015 17:13:28 -0700
Subject: [PATCH] [SPARK-9530] [MLLIB] ScalaDoc should not indicate
LDAModel.describeTopics and DistributedLDAModel.topDocumentsPerTopic as
approximate
Remove ScalaDoc that suggests describeTopics and topDocumentsPerTopic are approximate.
cc jkbradley
Author: Meihua Wu <meihuawu@umich.edu>
Closes #7858 from rotationsymmetry/SPARK-9530 and squashes the following commits:
b574923 [Meihua Wu] Remove ScalaDoc that suggests describeTopics and topDocumentsPerTopic are approximate.
---
.../scala/org/apache/spark/mllib/clustering/LDAModel.scala | 7 -------
1 file changed, 7 deletions(-)
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
index 0cdac84eeb..6af90d7287 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
@@ -86,10 +86,6 @@ abstract class LDAModel private[clustering] extends Saveable {
/**
* Return the topics described by weighted terms.
*
- * This limits the number of terms per topic.
- * This is approximate; it may not return exactly the top-weighted terms for each topic.
- * To get a more precise set of top terms, increase maxTermsPerTopic.
- *
* @param maxTermsPerTopic Maximum number of terms to collect for each topic.
* @return Array over topics. Each topic is represented as a pair of matching arrays:
* (term indices, term weights in topic).
@@ -519,9 +515,6 @@ class DistributedLDAModel private[clustering] (
/**
* Return the top documents for each topic
*
- * This is approximate; it may not return exactly the top-weighted documents for each topic.
- * To get a more precise set of top documents, increase maxDocumentsPerTopic.
- *
* @param maxDocumentsPerTopic Maximum number of documents to collect for each topic.
* @return Array over topics. Each element represent as a pair of matching arrays:
* (IDs for the documents, weights of the topic in these documents).
--
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