ML Base (ml_ajp)
Usage
Import this project into a domain specific repo and run utilities.
Description
This package does not do the ML for you but provides tools to other ML projects which clean up code considerably.
Development Installation
Install development dependencies with make dev
Documentation
Automatically generated docs are available on the gitlab
Roadmap
- Logging with wandb
- Packaging and building to pypi
- Training with sagemaker
- Deployment to AWS
Contributing
All members are free to submit pull requests.
License
MIT Licenced
1 maintainer
Metadata
1 maintainer
Release files for ml-ajp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_ajp-0.1.0.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_ajp-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / ml_ajp-0.1.0.tar.gz
| Download URL | ml_ajp-0.1.0.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / ml_ajp-0.1.0-py3-none-any.whl
| Download URL | ml_ajp-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.5 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
