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  1. SystemDS
  2. SYSTEMDS-822

Gradient Boosted Trees

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Details

    • New Feature
    • Status: Open
    • Major
    • Resolution: Unresolved
    • SystemML 0.11
    • None
    • Algorithms

    Description

      It would be great to have an implementation of gradient boosted trees in SystemML, similar to scikit-learn's gradient boosting machine [1] or DMLC's XGBoost [2].

      [1] http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
      [2] https://github.com/dmlc/xgboost/
      [3] http://homes.cs.washington.edu/~tqchen/2016/03/10/story-and-lessons-behind-the-evolution-of-xgboost.html

      For some inspiration, implementation for MLlib - https://github.com/apache/spark/pull/2607/files

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        Is contained by

        New Feature - A new feature of the product, which has yet to be developed. SYSTEMDS-1938 Regularized Greedy Forest (RGF) Implementation

        • Minor - Minor loss of function, or other problem where easy workaround is present.
        • Open
        is duplicated by

        Wish - General wishlist item. SYSTEMDS-978 Implement XGBoost in DML and expose it through mllearn

        • Major - Major loss of function.
        • Resolved

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            Unassigned Unassigned
            ahmaurya@gmail.com Abhinav Maurya
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