End-to-end ML Models Management

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Are there any documented use cases or papers on integrating MLflow with Cognite, or is it something we need to implement ourselves?

For example, if we aim to seamlessly integrate the MLflow UI with Cognite to evaluate and select the top-performing models, we could leverage SQLite, which operates on the local file system (e.g., mlruns.db) and provides a built-in client, sqlite3. However, our preference is to seamlessly integrate it with Cognite.

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