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AI & Machine Learning · Intermediate

MLflow

An open-source platform for experiment tracking, model packaging, model registry and evaluation.

Definition

MLflow logs parameters, metrics and artifacts for each run, packages models in a standard format and manages versions and aliases in its registry. It is built into Databricks and Azure Machine Learning and supports GenAI tracing and evaluation.

Example

mlflow.log_metric('rmse', 0.82)

Exam tip

MLflow is the default experiment tracking and model registry answer on Databricks.

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