@datagrok/mlflow v1.1.1

MLflow

MLflow is a package for the Datagrok platform.

MLflow integrates MLflow models into the Datagrok platform. It lets users fetch, manage, and run MLflow-registered models within Datagrok’s scalable infrastructure using Docker containers.

Key features:

• Model fetching: Easily access MLflow models using the MLflow connector
• Containerized execution: Deploy models in isolated Docker containers for secure and reproducible execution
• Inference API: Perform real-time predictions and visualize results within Datagrok’s interactive environment
• Version control: Access specific or latest versions of models with MLflow’s model versioning
• Environment consistency: Maintain consistent environments using MLflow’s conda or Docker specifications
• Seamless integration: Combine Datagrok’s analytics and visualization with ML model inference

Use cases:

• Perform automated model inference on large datasets within Datagrok
• Collaborate on data science workflows integrating data wrangling, visualization, and machine learning