GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/12663
[SPARK-14862][ML] Updated Classifiers to not require labelCol metadata
## What changes were proposed in this pull request?
Updated Classifier, DecisionTreeClassifier, RandomForestClassifier,
GBTClassifier to not require input column metadata.
* They first check for metadata.
* If numClasses is not specified in metadata, they identify the largest
label value (up to a limit).
This functionality is implemented in a new Classifier.getNumClasses method.
Also
* Updated Classifier.extractLabeledPoints to (a) check label values and (b)
include a second version which takes a numClasses value for validity checking.
## How was this patch tested?
* Unit tests in ClassifierSuite for helper methods
* Unit tests for DecisionTreeClassifier, RandomForestClassifier,
GBTClassifier with toy datasets lacking label metadata
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark trees-no-metadata
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12663.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 #12663
----
commit 082a5af29c28ab53922a43e572f38acc9fab40b4
Author: Joseph K. Bradley <[email protected]>
Date: 2016-04-25T17:34:10Z
Updated Classifier, DecisionTreeClassifier, RandomForestClassifier,
GBTClassifier to not require input column metadata
commit 94e206f0e98f0a2d398de71f808008a9acb711f1
Author: Joseph K. Bradley <[email protected]>
Date: 2016-04-25T17:42:01Z
added tests for GBT, RF. cleanups
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