From f799700eec4a5e33db9b2d6a4bee60a50fd5a099 Mon Sep 17 00:00:00 2001
From: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Date: Thu, 23 Oct 2014 09:19:32 -0700
Subject: [PATCH] [SPARK-4055][MLlib] Inconsistent spelling 'MLlib' and 'MLLib'
Thare are some inconsistent spellings 'MLlib' and 'MLLib' in some documents and source codes.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes #2903 from sarutak/SPARK-4055 and squashes the following commits:
b031640 [Kousuke Saruta] Fixed inconsistent spelling "MLlib and MLLib"
---
docs/mllib-feature-extraction.md | 2 +-
docs/mllib-statistics.md | 2 +-
.../src/main/java/org/apache/spark/examples/mllib/JavaALS.java | 2 +-
.../main/java/org/apache/spark/examples/mllib/JavaKMeans.java | 2 +-
.../main/scala/org/apache/spark/mllib/api/python/package.scala | 2 +-
5 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/docs/mllib-feature-extraction.md b/docs/mllib-feature-extraction.md
index 1511ae6dda..1162241449 100644
--- a/docs/mllib-feature-extraction.md
+++ b/docs/mllib-feature-extraction.md
@@ -83,7 +83,7 @@ val idf = new IDF().fit(tf)
val tfidf: RDD[Vector] = idf.transform(tf)
{% endhighlight %}
-MLLib's IDF implementation provides an option for ignoring terms which occur in less than a
+MLlib's IDF implementation provides an option for ignoring terms which occur in less than a
minimum number of documents. In such cases, the IDF for these terms is set to 0. This feature
can be used by passing the `minDocFreq` value to the IDF constructor.
diff --git a/docs/mllib-statistics.md b/docs/mllib-statistics.md
index c463241399..10a5131c07 100644
--- a/docs/mllib-statistics.md
+++ b/docs/mllib-statistics.md
@@ -197,7 +197,7 @@ print Statistics.corr(data, method="pearson")
## Stratified sampling
-Unlike the other statistics functions, which reside in MLLib, stratified sampling methods,
+Unlike the other statistics functions, which reside in MLlib, stratified sampling methods,
`sampleByKey` and `sampleByKeyExact`, can be performed on RDD's of key-value pairs. For stratified
sampling, the keys can be thought of as a label and the value as a specific attribute. For example
the key can be man or woman, or document ids, and the respective values can be the list of ages
diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaALS.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaALS.java
index 8d381d4e0a..95a430f1da 100644
--- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaALS.java
+++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaALS.java
@@ -32,7 +32,7 @@ import java.util.regex.Pattern;
import scala.Tuple2;
/**
- * Example using MLLib ALS from Java.
+ * Example using MLlib ALS from Java.
*/
public final class JavaALS {
diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaKMeans.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaKMeans.java
index f796123a25..e575eedeb4 100644
--- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaKMeans.java
+++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaKMeans.java
@@ -30,7 +30,7 @@ import org.apache.spark.mllib.linalg.Vector;
import org.apache.spark.mllib.linalg.Vectors;
/**
- * Example using MLLib KMeans from Java.
+ * Example using MLlib KMeans from Java.
*/
public final class JavaKMeans {
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/api/python/package.scala b/mllib/src/main/scala/org/apache/spark/mllib/api/python/package.scala
index 87bdc8558a..c67a6d3ae6 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/api/python/package.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/api/python/package.scala
@@ -18,7 +18,7 @@
package org.apache.spark.mllib.api
/**
- * Internal support for MLLib Python API.
+ * Internal support for MLlib Python API.
*
* @see [[org.apache.spark.mllib.api.python.PythonMLLibAPI]]
*/
--
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