Create a virtual environment
I strongly recommend to use
conda (a package manager) to create an environment in order to avoid version conflicts between packages.
I also recommend to read Kedro installation guide to set up your Kedro project.
conda create -n <your-environment-name> python=<3.[6-8].X>
For the rest of the section, we assume the envirpnment is activated:
conda activate <your-environment-name>
Check your kedro version
If you have an existing environment with kedro already installed, make sure its version is above
kedro-mlflow cannot be used with
kedro<0.16.0, and if you install it in an existing environment, it will reinstall a more up-to-date version of kedro and likely mess your project up until you reinstall the proper version of kedro (the one you originally created the project with).
pip show kedro
Name: kedro Version: <your-kedro-version> # <-- make sure it is above 0.16.0, <0.17.0 Summary: Kedro helps you build production-ready data and analytics pipelines Home-page: https://github.com/quantumblacklabs/kedro Author: QuantumBlack Labs Author-email: None License: Apache Software License (Apache 2.0) Location: <...>\anaconda3\envs\<your-environment-name>\lib\site-packages Requires: pip-tools, cachetools, fsspec, toposort, anyconfig, PyYAML, click, pluggy, jmespath, python-json-logger, jupyter-client, setuptools, cookiecutter
Install the plugin
The current version of the plugin is compatible with
kedro>=0.16.0. Since Kedro tries to enforce backward compatibility, it will very likely remain compatible with further versions.
Install from PyPI
You can install
kedro-mlflow plugin from
pip install --upgrade kedro-mlflow
Install from sources
You may want to install the master branch which has unreleased features:
pip install git+https://github.com/Galileo-Galilei/kedro-mlflow.git
Check the installation
kedro info in a terminal to check the installation. If it has succeeded, you should see the following ascii art:
_ _ | | _____ __| |_ __ ___ | |/ / _ \/ _` | '__/ _ \ | < __/ (_| | | | (_) | |_|\_\___|\__,_|_| \___/ v0.16.<x> kedro allows teams to create analytics projects. It is developed as part of the Kedro initiative at QuantumBlack. Installed plugins: kedro_mlflow: 0.11.10 (hooks:global,project)
0.11.10 of the plugin is installed and has both global and project commands.
That’s it! You are now ready to go!
kedro mlflow -h command outside of a kedro project, you now see the following output:
Usage: kedro mlflow [OPTIONS] COMMAND [ARGS]... Use mlflow-specific commands inside kedro project. Options: -h, --help Show this message and exit. Commands: new Create a new kedro project with updated template.
Note: For now, the
kedro mlflow new command is not implemented. You must use
kedro new to create a project, and then call
kedro mlflow init inside this new project.