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1 change: 1 addition & 0 deletions docs/ml-ensembles.md
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Expand Up @@ -20,6 +20,7 @@ Both use [MLlib decision trees](ml-decision-tree.html) as their base models.
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.

The main differences between this API and the [original MLlib ensembles API](mllib-ensembles.html) are:

* support for ML Pipelines
* separation of classification vs. regression
* use of DataFrame metadata to distinguish continuous and categorical features
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