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treeple: Modern decision-trees compatible with scikit-learn in Python.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Dec 2024Publisher:Zenodo
Authors: Li, Adam; Panda, Sambit; Xu, Haoyin; Ogihara, Itsuki;
Code repository: https://github.com/neurodata/treeple/tree/v0.10.0

doi: 10.5281/zenodo.14509519 , 10.5281/zenodo.14907951 , 10.5281/zenodo.8412279 , 10.5281/zenodo.14963173 , 10.5281/zenodo.14895201

treeple: Modern decision-trees compatible with scikit-learn in Python.

Abstract

treeple is a scikit-learn compatible API for building state-of-the-art decision trees. These include unsupervised trees, oblique trees, uncertainty trees, quantile trees and causal trees.

Please cite this software using the metadata from 'preferred-citation' in the CITATION.cff file.

Related Organizations
Keywords

honest forests, statisical learning, machine learning, oblique trees, random forest

  • BIP!
    Impact byBIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average