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Resources to get you started with Algorithmia



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: mlflow-algorithmia.

You can install this integration using pip:

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: