{"push_id":2689994699,"size":1,"distinct_size":1,"ref":"refs/heads/rf_gini_importance","head":"a1bd0652326538efd61abcc05b82b8981cbabd1f","before":"beb5698770e3b660cba6e3881cfa1ea77a4c3f23","commits":[{"sha":"a1bd0652326538efd61abcc05b82b8981cbabd1f","author":{"name":"Arvind Sridhar","email":"f0fee8f20d93423964cc7d70b62267fd67c5cbe3@pivotal.io"},"message":"RF: Finished gini impurity importance computation for Random Forest\n\nIn this commit, we added support for gini impurity importance\ncomputations in the random forest module. The same boolean flag used\nbefore to gather oob importance statistics will now also report gini\nimportance data automatically.\n\nCo-authored-by: Jingyi Mei <jmei@pivotal.io>","distinct":true,"url":"https://api.github.com/repos/madlib/madlib/commits/a1bd0652326538efd61abcc05b82b8981cbabd1f"}]}
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