zhengruifeng created SPARK-30543:
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Summary: RandomForest add Param bootstrap to control sampling
method
Key: SPARK-30543
URL: https://issues.apache.org/jira/browse/SPARK-30543
Project: Spark
Issue Type: Bug
Components: ML, PySpark
Affects Versions: 3.0.0
Reporter: zhengruifeng
Current RF with numTrees=1 will directly build a tree using the orignial
dataset,
while with numTrees>1 it will use bootstrap samples to build trees.
This design is to train a DecisionTreeModel by the impl of RandomForest,
however, it is somewhat strange.
In Scikit-Learn, there is a param bootstrap to control bootstrap samples are
used.
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