GitHub user hujy opened a pull request:
https://github.com/apache/spark/pull/12380
[SPARK-14623][ML]add label binarizer
## What changes were proposed in this pull request?
SPARK-14623
LabelBinarizer can make it possible to transformation a fixed set of class
labels to binaries. It is to extend regression and binary classification
algorithms to the multi-class classification case is to use one-vs-all scheme.
## How was this patch tested?
LabelBinarizerSuiter unit tests (some existing tests will change or even be
removed in this PR)
Input:
"yellow,green,red,green,0"
The labels: "0, green, red, yellow"
Output:
0, 0, 0, 0, 1, => 0's index in input is 5 and set 1 here
0, 1, 0, 1, 0,
0, 0, 1, 0, 0,
1, 0, 0, 0, 0
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hujy/spark lb
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12380.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 #12380
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commit 0aa27fc977e33fb1404431e4d1b761f0192ff4c3
Author: HuJiayin <[email protected]>
Date: 2016-04-14T03:34:04Z
[SPARK-14623][ML]add label binarizer
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