MLflow for Machine Learning Development

This repository is part of the playlist on Youtube named: MLflow for Machine Learning Development with Databricks (yet to be created)

Notebooks

Package: mlflow_for_ml_dev

To run the notebooks is important to create the virtual environment with the required libraries, such a jupyter an the respective kernel. In addition, you need packages such as sklearn, mlflow and pandas

How to use with Poetry.

• Installing poetry

To install poetry follow the steps provided in the Poetry Documentation.

• Creating the virtual environment.

After installing Poetry, to create the virtual environment (.venv) you can run:

poetry install

• Activate the virtual environment.

  • With poetry:

    poetry shell

  • Without Poetry:

    Depending on the terminal you are using:

    • Command Prompt (cmd):

      .venv\Scripts\activate

    • Git Bash

      source .venv/Scripts/activate

How to use without Poetry.

• Create Virtual Environment.

  python -m venv .venv

• Activate the environment

  Depending on the terminal you are using:

  • Command Prompt (cmd):

    .venv\Scripts\activate

  • Git Bash

    source .venv/Scripts/activate

• Install requirements.

  pip install -r requirements.txt

Content:

• mlflow_for_ml_dev package
  • notebooks
    • experiments.
      • Main Concepts.
      • Retrieve Experiments.
      • Restore Experiments.

Contributing

If you want to contribute to this project and make it better, your help is very welcome. Contributing is also a great way to learn more and improve your skills. You can contribute in different ways:

• Reporting a bug
• Coming up with a feature request
• Writing code
• Writing tests
• Writing documentation
• Reviewing code
• Giving feedback on the project
• Spreading the word
• Sharing the project

Contact

If you need to contact me, you can reach me at:

• manuelgilsitio@gmail.com
• linkedin