GitHub user BenFradet opened a pull request:
https://github.com/apache/spark/pull/12500
[SPARK-13962][ML] spark.ml Evaluators should support other numeric types
for label
## What changes were proposed in this pull request?
Made BinaryClassificationEvaluator, MulticlassClassificationEvaluator and
RegressionEvaluator accept all numeric types for label
## How was this patch tested?
Unit tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/BenFradet/spark SPARK-13962
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12500.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 #12500
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commit 4723508eb4e4390c004523c5b175644728920851
Author: BenFradet <[email protected]>
Date: 2016-04-19T15:01:49Z
added features column name parameter to TreeTests.setMetadata
commit f8fe189fe17c3badc9261825a49f0b03890afaca
Author: BenFradet <[email protected]>
Date: 2016-04-19T15:02:11Z
binary classification evaluator now accepts all numeric types as label
commit 963805c01cc3c2077babd7fe556c376acc6f394e
Author: BenFradet <[email protected]>
Date: 2016-04-19T15:41:43Z
added method to check that an evaluator accepts all numeric types as label
commit 0dd9ef6532ad46c6d05db838acba7e59df9bf425
Author: BenFradet <[email protected]>
Date: 2016-04-19T16:22:55Z
multiclass classification evaluator now accepts all numeric types as label
commit 24e45e3ad6258fc720a1ae057e305f72445d81e0
Author: BenFradet <[email protected]>
Date: 2016-04-19T16:32:46Z
regression evaluator now accepts all numeric types as label
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