Feynman Liang created SPARK-9904:
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Summary: User guide for ML tree algorithms
Key: SPARK-9904
URL: https://issues.apache.org/jira/browse/SPARK-9904
Project: Spark
Issue Type: Documentation
Components: ML
Reporter: Feynman Liang
The ML Pipeline implementation of trees has diverged sufficiently from MLlib to
warrant it's own user guide. Notable features which only exist in ML include:
* Class probabilities (SPARK-6884, SPARK-6885)
* Random Forest Feature importance (SPARK-5133)
* Classification thresholds (SPARK-8069)
* Checkpointing (SPARK-6684)
We should add a new section to {{ml-guide#algorithm-guides}} to describe trees
in ML pipeline
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