Published December 7, 2023
| Version v0.5
Software
Open
Scikit-tree: Modern decision-trees compatible with scikit-learn in Python.
Creators
- 1. Department of Computer Science, Columbia University, New York, NY, USA
- 2. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
Description
scikit-tree 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.
Notes
Please cite this software using the metadata from 'preferred-citation' in the CITATION.cff file.
Files
neurodata/scikit-tree-v0.5.zip
Files
(8.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:2541c3dba41d1e715d9b997d85b8665d
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8.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/neurodata/scikit-tree/tree/v0.5 (URL)