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From "Janardhan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-822) Gradient Boosted Trees
Date Tue, 26 Sep 2017 13:53:00 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Janardhan updated SYSTEMML-822:
-------------------------------
    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

  was:
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


> Gradient Boosted Trees
> ----------------------
>
>                 Key: SYSTEMML-822
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-822
>             Project: SystemML
>          Issue Type: New Feature
>          Components: Algorithms
>    Affects Versions: SystemML 0.11
>            Reporter: Abhinav Maurya
>              Labels: Hacktoberfest, features
>
> 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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