[SPARK-14623][ML]add label binarizer #12380
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Contributor
Author
|
ok with test |
|
Can one of the admins verify this patch? |
Member
|
Isn't this just one-hot encoding? Spark has had this for a long time. |
Member
|
Let's close this |
srowen
added a commit
to srowen/spark
that referenced
this pull request
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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