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docs/5. Refining/5.1. Task Automation.md

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For an MLOps project, it's advisable to organize tasks into categories and place them within a `tasks/` directory at the root of your repository. This directory can include files for different task categories such as cleaning, commits, container management, and more. Here's an example structure:
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- [tasks](https://github.com/fmind/mlops-python-package/tree/main/tasks)
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- [tasks/check](https://github.com/fmind/mlops-python-package/blob/main/tasks/check)
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- [tasks/clean](https://github.com/fmind/mlops-python-package/blob/main/tasks/clean)
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- [tasks/commit](https://github.com/fmind/mlops-python-package/blob/main/tasks/commit)
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- [tasks/doc](https://github.com/fmind/mlops-python-package/blob/main/tasks/doc)
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- [tasks/docker](https://github.com/fmind/mlops-python-package/blob/main/tasks/docker)
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- [tasks/format](https://github.com/fmind/mlops-python-package/blob/main/tasks/format)
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- [tasks/install](https://github.com/fmind/mlops-python-package/blob/main/tasks/install)
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- [tasks/mlflow.py](https://github.com/fmind/mlops-python-package/blob/main/tasks/mlflow)
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- [tasks/package](https://github.com/fmind/mlops-python-package/blob/main/tasks/package)
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- [tasks/project](https://github.com/fmind/mlops-python-package/blob/main/tasks/project)
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Each module, like [`check`](https://github.com/fmind/mlops-python-package/blob/main/tasks/check), can define multiple tasks. For example:
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- [tasks/check](https://github.com/fmind/mlops-python-package/blob/main/tasks/check.just)
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- [tasks/clean](https://github.com/fmind/mlops-python-package/blob/main/tasks/clean.just)
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- [tasks/commit](https://github.com/fmind/mlops-python-package/blob/main/tasks/commit.just)
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- [tasks/doc](https://github.com/fmind/mlops-python-package/blob/main/tasks/doc.just)
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- [tasks/docker](https://github.com/fmind/mlops-python-package/blob/main/tasks/docker.just)
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- [tasks/format](https://github.com/fmind/mlops-python-package/blob/main/tasks/format.just)
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- [tasks/install](https://github.com/fmind/mlops-python-package/blob/main/tasks/install.just)
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- [tasks/mlflow.py](https://github.com/fmind/mlops-python-package/blob/main/tasks/mlflow.just)
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- [tasks/package](https://github.com/fmind/mlops-python-package/blob/main/tasks/package.just)
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- [tasks/project](https://github.com/fmind/mlops-python-package/blob/main/tasks/project.just)
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Each module, like [`check`](https://github.com/fmind/mlops-python-package/blob/main/tasks/check.just), can define multiple tasks. For example:
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```
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# run check tasks

docs/7. Observability/0. Reproducibility.md

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## Reproducibility additional resources
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- **[MLflow Project example from the MLOps Python Package](https://github.com/fmind/mlops-python-package/blob/main/MLproject)**
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- **[MLflow Project execution from the MLOps Python Package](https://github.com/fmind/mlops-python-package/blob/main/tasks/project)**
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- **[MLflow Project execution from the MLOps Python Package](https://github.com/fmind/mlops-python-package/blob/main/tasks/project.just)**
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- [MLflow Projects](https://mlflow.org/docs/latest/projects.html)

pyproject.toml

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[project]
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name = "mlops-coding-course"
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version = "4.1.0"
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version = "4.1.1"
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description = "Learn how to create, develop, and maintain a state-of-the-art MLOps code base."
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authors = [{ name = "Médéric HURIER", email = "[email protected]" }]
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readme = "README.md"

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