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Signed-off-by: Adam Li <[email protected]>
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adam2392 committed Jul 18, 2024
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Expand Up @@ -8,6 +8,9 @@ Our package has implemented unsupervised forests (Geodesic Forests
[Madhyastha2020]_), oblique random forests (SPORF [Tomita2020]_, manifold random forests,
MORF [Li2023]_), honest forests [Perry2021]_, extended isolation forests [Hariri2019]_, and more.

For all forests, we also support incremental building of the forests, using the
``partial_fit`` API from scikit-learn [Xu2022]_.

We encourage you to use the package for your research and also build on top
with relevant Pull Requests. See our examples for walk-throughs of how to use the package.
Also, see our `contributing guide <https://github.com/neurodata/treeple/blob/main/CONTRIBUTING.md>`_.
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