Description:

mlflowcratedb 2.14.1

MLflow adapter for CrateDB







About
An adapter for MLflow to use CrateDB as a storage database for MLflow
Tracking. MLflow is an open source platform to manage the whole ML lifecycle,
including experimentation, reproducibility, deployment, and a central model
registry.
Setup
Install the most recent version of the mlflow-cratedb package.
pip install --upgrade 'mlflow-cratedb[examples]'

To verify if the installation worked, you can inspect the version numbers
of the software components you just installed.
mlflow-cratedb --version
mlflow-cratedb cratedb --version

Documentation
The MLflow Tracking subsystem is about recording and querying experiments, across
code, data, config, and results.
The MLflow adapter for CrateDB can be used in different ways. Please refer
to the handbook, and the documentation about container usage.
For more general information, see Machine Learning with CrateDB
and examples about MLflow and CrateDB.
Development
For joining the development, or for making changes to the software, read about
how to install a development sandbox.
Project Information
Resources

Source code
Documentation
Python Package Index (PyPI)

Contributions
This library is an open source project, and is managed on GitHub.
Every kind of contribution, feedback, or patch, is much welcome. Create an
issue or submit a patch if you think we should include a new feature, or to
report or fix a bug.
Development
In order to set up a development environment on your workstation, please head
over to the development sandbox documentation. When you see the software
tests succeed, you should be ready to start hacking.
License
The project is licensed under the terms of the Apache License 2.0, like MLflow
and CrateDB, see LICENSE.
Acknowledgements
Siddharth Murching, Corey Zumar, Harutaka Kawamura, Ben Wilson, and
all other contributors for conceiving and maintaining MLflow.
Andreas Nigg for contributing the tracking_merlion.py and tracking_pycaret.py
ML experiment programs, using Merlion and PyCaret.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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