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@@ -20,6 +20,7 @@ Both use [MLlib decision trees](ml-decision-tree.html) as their base models.
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Users can find more information about ensemble algorithms in the [MLlib Ensemble guide](mllib-ensembles.html). In this section, we demonstrate the Pipelines API for ensembles.
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The main differences between this API and the [original MLlib ensembles API](mllib-ensembles.html) are:
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* support for ML Pipelines
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* separation of classification vs. regression
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* use of DataFrame metadata to distinguish continuous and categorical features
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