zhengruifeng opened a new pull request #27011: [SPARK-30354][ML] GBT reuse DecisionTreeMetadata among iterations URL: https://github.com/apache/spark/pull/27011 ### What changes were proposed in this pull request? precompute the `DecisionTreeMetadata` and reuse it for all trees ### Why are the changes needed? Each `DecisionTreeRegressor` needs a pass on the whole dataset to calculate the same `DecisionTreeMetadata`. with default depth=5, it is about 8% faster then existing impl ### Does this PR introduce any user-facing change? No ### How was this patch tested? existing testsuites
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