[SPARK-14623][ML]add label binarizer #12380
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ok with test |
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Can one of the admins verify this patch? |
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Isn't this just one-hot encoding? Spark has had this for a long time. |
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Let's close this |
srowen
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Feb 2, 2017
Closes apache#15736 Closes apache#16309 Closes apache#16485 Closes apache#16502 Closes apache#16196 Closes apache#16498 Closes apache#12380 Closes apache#16764
zifeif2
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Nov 22, 2025
Closes apache#15736 Closes apache#16309 Closes apache#16485 Closes apache#16502 Closes apache#16196 Closes apache#16498 Closes apache#12380 Closes apache#16764 Closes apache#14394 Closes apache#14204 Closes apache#14027 Closes apache#13690 Closes apache#16279 Author: Sean Owen <[email protected]> Closes apache#16778 from srowen/CloseStalePRs.
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What changes were proposed in this pull request?
SPARK-14623
LabelBinarizer can make it possible to transform a fixed set of class labels to binaries. It uses one-vs-all scheme to extend regression and binary classification algorithms to the multi-class classification.
How was this patch tested?
LabelBinarizerSuiter unit tests
for example
Input:
"yellow,green,red,green,0"
The labels: "0, green, red, yellow"
Output:
0, 0, 0, 1
0, 1, 0, 0
0, 0, 1, 0
0, 1, 0, 0
1, 0 ,0, 0
=> 0's index in input is 5 and set 1 here