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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# papermill-mlflow\nSimple data science experimentation with `jupyter`, `papermill`, and `mlflow`\n\n#### Associated blog post: [A simpler experimentation workflow with Jupyter, Papermill, and MLflow](https://eugeneyan.com/writing/experimentation-workflow-with-jupyter-papermill-mlflow/)\n---\n\n# Quick-start\n\n- Clone this repo\n\n```\ngit clone git@github.com:eugeneyan/papermill-mlflow.git\n```\n- Set up virtualenv\n\n```\ncd papermill-mlflow\n\n# Create virtualenv based on requirements.txt\npython3 -m venv venv\nsource venv/bin/activate\npip install -r requirements.txt\n\n# Install kernelspec for Jupyter notebooks (the name argument must be identical)\npython -m ipykernel install --user --name=papermill-mlflow\n```\n\n- Start Jupyter notebook\n\n```\ncd notebooks\njupyter notebook\n```\n\n- Run the cells in `runner.ipynb`\n\n![image of runner notebook](https://raw.githubusercontent.com/eugeneyan/papermill-mlflow/master/assets/runner.png)\n\n- Start MLflow (in another terminal)\n\n```\n# Open another terminal\n\n# Activate the virtualenv\ncd papermill-mlflow\nsource venv/bin/activate\n\n# Start the mlflow server\ncd notebooks\nmlflow server\n```\n\n- Access the MLflow UI opening this in a browser: [http://127.0.0.1:5000](http://127.0.0.1:5000/#/experiments/1)\n\t- Navigate to \"indices\" in the experiment tab if necessary\n\n![image of mlflow](https://raw.githubusercontent.com/eugeneyan/papermill-mlflow/master/assets/mlflow.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feugeneyan%2Fpapermill-mlflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feugeneyan%2Fpapermill-mlflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feugeneyan%2Fpapermill-mlflow/lists"}