Joseph K. Bradley created SPARK-14862:
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Summary: Tree and ensemble classification: do not require label
metadata
Key: SPARK-14862
URL: https://issues.apache.org/jira/browse/SPARK-14862
Project: Spark
Issue Type: Improvement
Components: ML
Reporter: Joseph K. Bradley
spark.ml DecisionTreeClassifier, RandomForestClassifier, and GBTClassifier
require that the labelCol have metadata specifying the number of classes.
Instead, if the number of classes is not specified, we should automatically
scan the column to identify numClasses.
Note: This could cause problems with very small datasets + cross validation if
there are k classes but class index k-1 does not appear in the training data.
We should make sure the error thrown helps the user understand the solution,
which is probably to use StringIndexer to index the whole dataset's labelCol
before doing cross validation.
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