https://github.com/neurodata/sdtf
Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.
https://github.com/neurodata/sdtf
classification decision-trees machine-learning streaming-data
Last synced: about 1 year ago
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Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.
- Host: GitHub
- URL: https://github.com/neurodata/sdtf
- Owner: neurodata
- License: other
- Created: 2020-10-02T18:35:57.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-03-04T20:43:08.000Z (over 1 year ago)
- Last Synced: 2025-04-12T21:42:13.655Z (about 1 year ago)
- Topics: classification, decision-trees, machine-learning, streaming-data
- Language: Jupyter Notebook
- Homepage: https://sdtf.neurodata.io
- Size: 36.1 MB
- Stars: 8
- Watchers: 2
- Forks: 2
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# Streaming Decision Trees & Forests
[](https://arxiv.org/abs/2110.08483)
[](https://doi.org/10.5281/zenodo.5557864)
[](https://pypi.org/project/sdtf/)
[](https://circleci.com/gh/neurodata/SDTF/tree/main)
[](https://app.netlify.com/sites/sdtf/deploys)
[](https://www.python.org/downloads/)
[](https://github.com/psf/black)
[](https://pypi.org/project/sdtf/#files)
`SDTF` (**S**treaming **D**ecision **T**rees & **F**orests) is for exploring streaming options of decision trees and random forests.
The package includes two ensemble implementations (**Stream Decision Forest** and **Cascade Stream Forest**).
Based on `scikit-learn` [fork](https://github.com/PSSF23/scikit-learn-stream/tree/stream).
- **Documentation:** https://sdtf.neurodata.io/
- **Installation Guide:** https://sdtf.neurodata.io/#install
- **Benchmark Visual:** https://sdtf.neurodata.io/visual.html
- **API Reference:** https://sdtf.neurodata.io/api.html