MLflow Integration

This section contains documentation for the getml-mlflow package, which provides seamless integration between getML and MLflow, allowing you to track your machine learning projects and pipelines.

getml-mlflow enables automatic logging of getML operations to MLflow, making it easy to track, compare, and manage your getML pipelines. The integration provides:

• Automatic logging of pipeline creation, loading, and operations (fit, score, predict, transform)
• Project setting and switching tracking
• Capture of pipeline parameters, performance metrics, dataframe metadata, and other relevant information
• Artifact logging for dataframes and models
• System metrics tracking
• Custom tagging capabilities

User Guide

For an introduction to using MLflow with getML, please see our Tracking with MLflow guide.

How to install

You can install getml-mlflow using pip:

pip install getml-mlflow