MLOps ODS
This project for ml model with MLOps instruments
the methodology of repo (GitHub flow - one main branch, and developing in other brunches):
- main branch: 'master'
- other branches: 'fix-', 'feature-', 'model-', 'experiment-'
poetry build --format=wheel
Docker image (build / run):
docker build . -t mlops_ods_image
docker run -it mlops_ods_image /bin/bash
build for linux:
docker build . -t mlops_ods_image --platform linux/amd64
run with port and volumes if necessary:
docker run -p 8888:8888 -v {path-to-local-folder-(pwd)}:/app/volumes -it mlops_ods_image /bin/bash
documentation of jupyter notebooks with quarto:
quarto render
quarto preview src/mlops_ods/notebooks/eda.ipynb
quarto render src/mlops_ods/notebooks/eda.ipynb --to html
snakemake command inside docker:
snakemake --cores 10
snakemake --dag | dot -Tsvg > dag.svg
docker ps
docker cp <CONTAINER ID>:/app/dag.svg .
1 maintainer
Metadata
1 maintainer
Release files for mlops-ods 0.1.202406191453
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlops_ods-0.1.202406191453.tar.gz | 1.5 MB | Without provenance | Details for mlops_ods-0.1.202406191453.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlops_ods-0.1.202406191453-py3-none-any.whl | Python 3 | none | any | Details for mlops_ods-0.1.202406191453-py3-none-any.whl |
Total release size: 3.1 MB
Release files / mlops_ods-0.1.202406191453.tar.gz
| Download URL | mlops_ods-0.1.202406191453.tar.gz |
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| Size | 1.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.0 CPython/3.9.19
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Release files / mlops_ods-0.1.202406191453-py3-none-any.whl
| Download URL | mlops_ods-0.1.202406191453-py3-none-any.whl |
|---|---|
| Size | 1.6 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/5.1.0 CPython/3.9.19
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