ml-bodega
A system for manage machine learning experiments and their metrics, based on ports and adapters architecture.
Warning:
This project is under development and I may completely change It's schemas and design, for a more general one. For now it's only for support the torchsystem, with a model per aggregate and a criterion and optimizer per model, but the idea is to design something that works for any machine learning workflow not only neural networks.
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Metadata
1 maintainer
Release files for mlbodega 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlbodega-0.1.0.tar.gz | 3.5 kB | Without provenance | Details for mlbodega-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlbodega-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for mlbodega-0.1.0-py3-none-any.whl |
Total release size: 9.7 kB
Release files / mlbodega-0.1.0.tar.gz
| Download URL | mlbodega-0.1.0.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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poetry/1.8.4 CPython/3.12.1 Linux/6.5.0-1025-azure
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Release files / mlbodega-0.1.0-py3-none-any.whl
| Download URL | mlbodega-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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poetry/1.8.4 CPython/3.12.1 Linux/6.5.0-1025-azure
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