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https://issues.apache.org/jira/browse/SPARK-14816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15381438#comment-15381438
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Joseph K. Bradley commented on SPARK-14816:
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I'd say the updates for [http://spark.apache.org/mllib/] are:
* Ease of Use: "MLlib fits into Spark's APIs and interoperates with NumPy in
Python (starting in Spark 0.9)." --> change to "MLlib fits into Spark's APIs
and interoperates with NumPy in Python (as of Spark 0.9) and R (as of Spark
1.5)."
* Algorithms list: Change to a list of categories, not specific algs
* Calling MLlib in Python code snippet: Change to:
{code}
data = spark.read.format("libsvm").load("hdfs://...")
model = new KMeans().setK(10).fit(data)
{code}
If this sounds good, I can make the change.
[~shivaram] SparkR does not really have a website. Should we add one?
> Update MLlib, GraphX, SparkR websites for 2.0
> ---------------------------------------------
>
> Key: SPARK-14816
> URL: https://issues.apache.org/jira/browse/SPARK-14816
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, GraphX, ML, MLlib, SparkR
> Reporter: Joseph K. Bradley
> Priority: Critical
>
> Update the sub-projects' websites to include new features in this release.
> For MLlib, make it clear that the DataFrame-based API is the primary one now.
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