zhengruifeng opened a new pull request #27254: [SPARK-30543][ML][PYSPARK] RandomForest add Param bootstrap to control sampling method URL: https://github.com/apache/spark/pull/27254 ### What changes were proposed in this pull request? add a param `bootstrap` to control whether bootstrap samples are used. ### Why are the changes needed? 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 for training a DecisionTreeModel by the impl of RandomForest, however, it is somewhat strange. In Scikit-Learn, there is a param [bootstrap](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier) to control whether bootstrap samples are used. ### Does this PR introduce any user-facing change? Yes, new param is added ### How was this patch tested? existing testsuites
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