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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/08/08 03:06:59 UTC
[GitHub] [spark] zhengruifeng opened a new pull request #25383:
[SPARK-13677][ML] Implement Tree-Based Feature Transformation for ML
zhengruifeng opened a new pull request #25383: [SPARK-13677][ML] Implement Tree-Based Feature Transformation for ML
URL: https://github.com/apache/spark/pull/25383
## What changes were proposed in this pull request?
Tree-based feature transformation is a widely used feature and already implemented in many famous libraries, like sklearn/xgboost/lightgbm/catboost. But is still missing in ML.
The previous discussions and design doc can be found in [SPARK-13677](https://issues.apache.org/jira/browse/SPARK-13677), which is the only left subtask in 'GBT improvement umbrella' [SPARK-14047](https://issues.apache.org/jira/browse/SPARK-14047).
This pr is to add tree-based feature transformation.
## How was this patch tested?
existing and added suites
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