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https://issues.apache.org/jira/browse/SPARK-14047?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16351488#comment-16351488
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Clay Stevens edited comment on SPARK-14047 at 2/3/18 7:05 PM:
--------------------------------------------------------------
Is there anything that can be done to prevent the "Caused by:
java.util.NoSuchElementException: key not found: 1.0" error that happens when
the model test data does not have *_all_* of the feature-values or
feature-categories that the model training data had. If it does not, Spark
completely stops.
This is similar to the issues -SPARK-12367- and SPARK-12375 for the Random
Forest Regressor and VectorIndexer.
was (Author: clayms):
Is there anything that can be done to prevent the "Caused by:
java.util.NoSuchElementException: key not found: 1.0" error that happens when
the model test data does not have *_all_* of the feature-values or
feature-categories that the model training data had. If it does not, Spark
completely stops.
This is similar to the issues -SPARK-12367- and SPARK-12375 for the
VectorIndexer.
> GBT improvement umbrella
> ------------------------
>
> Key: SPARK-14047
> URL: https://issues.apache.org/jira/browse/SPARK-14047
> Project: Spark
> Issue Type: Umbrella
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Major
>
> This is an umbrella for improvements to learning Gradient Boosted Trees:
> GBTClassifier, GBTRegressor.
> Note: Aspects of GBTs which are related to individual trees should be listed
> under [SPARK-14045].
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