mlf-core
Preprint
Overview
mlf-core provides CPU and GPU deterministic machine learning templates based on MLflow, Conda, Docker and a strong Github integration. Templates are available for PyTorch, TensorFlow and XGBoost. A custom linter ensures that projects stay deterministic in all phases of development and deployment.
Installing
Start your journey with mlf-core by installing it via $ pip install mlf-core.
See Installation.
run
See a mlf-core project in action.
config
Configure mlf-core to get started.
list
List all available mlf-core templates.
info
Get detailed information on a mlf-core template.
create
Kickstart your deterministic machine laerning project with one of mlf-core’s templates in no time.
See Create a project.
lint
Use advanced linting to ensure your project always adheres to mlf-core’s standards and stays deterministic.
bump-version
Bump your project version across several files.
sync
Sync your project with the latest mlf-core release to get the latest template features.
See Syncing a project.
upgrade
Check whether you are using the latest mlf-core version and update automatically to benefit from the latest features.
Credits
Primary idea and main development by Lukas Heumos. mlf-core is inspired by nf-core. This package was created with cookietemple based on a modified audreyr/cookiecutter-pypackage project template using cookiecutter.
1 maintainer
Metadata
1 maintainer
Release files for mlf-core 1.11.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlf-core-1.11.4.tar.gz | 5.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlf_core-1.11.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 MB
Release files / mlf-core-1.11.4.tar.gz
| Download URL | mlf-core-1.11.4.tar.gz |
|---|---|
| Size | 5.9 MB |
| 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
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Release files / mlf_core-1.11.4-py3-none-any.whl
| Download URL | mlf_core-1.11.4-py3-none-any.whl |
|---|---|
| Size | 6.0 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
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