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Implementing a multi-objective regression model #208

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byte-sculptor
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@byte-sculptor byte-sculptor commented Dec 14, 2020

This PR introduces a multi-objective random forest model, which is essentially a collection of single-objective random forests - each predicting a different objective.

This model is not yet exposed as part of the optimizer.

@byte-sculptor byte-sculptor marked this pull request as ready for review December 14, 2020 22:39
@byte-sculptor byte-sculptor merged commit 4548c31 into microsoft:main Dec 15, 2020
@amueller
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FYI the scikit-learn decision trees and random forests support multiple targets natively, which allows sharing some structure of the tree, instead of modeling them independently.

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3 participants