GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/6018
[SPARK-7492] Method to convert a local DataFrame to a DenseMatrix
This PR adds a method: `fromDataFrame` to `Matrices`.
What benefit does this method give? With the addition of Statistical
methods in DataFrames, such as `crosstab`, users will be able to call
`crosstab` on their DataFrame to get a contingency matrix. Using this method,
they will be able to extract the matrix from the DataFrame and then run a
Chi-Squared test for feature selection!
An additional nice method to add would be `BlockMatrix.fromDataFrame`, to
get the distributed version.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/brkyvz/spark df2mat
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6018.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6018
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commit 14a6e4bf8031b4f4431c053ebc13299ae0957328
Author: Burak Yavuz <[email protected]>
Date: 2015-05-08T20:56:07Z
added fromDataFrame to Matrices
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