RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. In the first version, our library includes 53 recommendation algorithms, covering four major categories: General Recommendation, Sequential Recommendation, Context-aware Recommendation and Knowledge-based Recommendation. View RecBole homepage for more information: https://recbole.io
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Release files for recbole 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| recbole-1.2.1.tar.gz | 1.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| recbole-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / recbole-1.2.1.tar.gz
| Download URL | recbole-1.2.1.tar.gz |
|---|---|
| Size | 1.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.11.3
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Release files / recbole-1.2.1-py3-none-any.whl
| Download URL | recbole-1.2.1-py3-none-any.whl |
|---|---|
| Size | 2.1 MB |
| 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/6.1.0 CPython/3.11.3
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