[SPARK-2547] The clustering documentaion example provided for spark 0.9.1/docs is having a error

• Type: Documentation
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.9.1
• Fix Version/s: 0.9.3
• Component/s: Documentation, Examples, MLlib, PySpark
• Labels: documentation easyfix

Environment

All

• Assignee: Unassigned
• Reporter: Rahul K Bhojwani
• Created: 17/Jul/14 05:22
• Updated: 26/Jul/14 21:04
• Resolved: 26/Jul/14 21:04

Description

The documentation example for MLlib Clustering contains Kmeans example.

http://spark.apache.org/docs/0.9.1/mllib-guide.html#clustering-2

Here this line mentioned below is wrong and misleading.

clusters = KMeans.train(parsedData, 2, maxIterations=10,runs=30, initialization_mode="random")

Look at the key parameter "initialization_mode" given in example. Its wrong as per the implementation of KMeans. It should be "initializationMode"

Correction:

clusters = KMeans.train(parsedData, 2, maxIterations=10,runs=30, initializationMode="random")

Issue Links

• links to: [Github] Pull Request #1590 (yu-iskw)