Streaming Decision Trees & Forests
SDTF (Streaming Decision Trees & Forests) 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.
- 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
Metadata
Release files for sdtf 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sdtf-0.1.1.tar.gz | 5.7 kB | Without provenance | Details for sdtf-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sdtf-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for sdtf-0.1.1-py3-none-any.whl |
Total release size: 11.4 kB
Release files / sdtf-0.1.1.tar.gz
| Download URL | sdtf-0.1.1.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.0 CPython/3.9.12
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Release files / sdtf-0.1.1-py3-none-any.whl
| Download URL | sdtf-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
|
Security for sdtf 0.1.1
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