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authorJoseph K. Bradley <joseph@databricks.com>2015-08-03 12:17:46 -0700
committerJoseph K. Bradley <joseph@databricks.com>2015-08-03 12:17:46 -0700
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[SPARK-5133] [ML] Added featureImportance to RandomForestClassifier and Regressor
Added featureImportance to RandomForestClassifier and Regressor. This follows the scikit-learn implementation here: [https://github.com/scikit-learn/scikit-learn/blob/a95203b249c1cf392f86d001ad999e29b2392739/sklearn/tree/_tree.pyx#L3341] CC: yanboliang Would you mind taking a look? Thanks! Author: Joseph K. Bradley <joseph@databricks.com> Author: Feynman Liang <fliang@databricks.com> Closes #7838 from jkbradley/dt-feature-importance and squashes the following commits: 72a167a [Joseph K. Bradley] fixed unit test 86cea5f [Joseph K. Bradley] Modified RF featuresImportances to return Vector instead of Map 5aa74f0 [Joseph K. Bradley] finally fixed unit test for real 33df5db [Joseph K. Bradley] fix unit test 42a2d3b [Joseph K. Bradley] fix unit test fe94e72 [Joseph K. Bradley] modified feature importance unit tests cc693ee [Feynman Liang] Add classifier tests 79a6f87 [Feynman Liang] Compare dense vectors in test 21d01fc [Feynman Liang] Added failing SKLearn test ac0b254 [Joseph K. Bradley] Added featureImportance to RandomForestClassifier/Regressor. Need to add unit tests
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