MLFlow is a platform for the Machine Learning Lifecycle. Algorithmia prodives an integration with the MLFlow models component to take models that have been trained using MLFlow and deploy them to Algorithmia in a simple way.
This integration is a Python package that is available on PyPI:
You can install this integration using
pip install mlflow-algorithmia
After this you can deploy a trained model to a Algorithmia using a simple
mlflow deployment command, for example:
mlflow deployments create -t algorithmia --name mlflow_sklearn_demo -m <path-to-the-model-directory>
For more information on how to use this integration take a look at the GitHub Repository: github.com/algorithmiaio/mlflow-algorithmia.