Automatic tracing - Azure Databricks | Microsoft Learn
2025年12月2日 · Add one line of code `mlflow.<library>.autolog()` to automatically trace your generative AI app.
MLOps workflows on Databricks | Databricks on AWS
2024年12月18日 · Learn the recommended Databricks MLOps workflow to optimize performance and efficiency of your machine learning production systems.
Create and edit prompts - Azure Databricks | Microsoft Learn
2025年6月11日 · See Manage Azure Databricks previews. This page shows you how to create new prompts and manage their versions in the MLflow Prompt Registry using the MLflow Python SDK. It …
Choose where your MLflow data is stored - Azure Databricks
2025年9月9日 · Learn how to configure where your MLflow data is stored for local workspace, cross-workspace, and multi-workspace scenarios.
Tutorial: Evaluate and improve a GenAI application - Azure Databricks ...
2025年12月9日 · Learn how to systematically evaluate new versions of your GenAI application in MLflow, assess quality after changes, detect regressions, and iteratively improve your app's quality …
Tutorial: Create external model endpoints to query OpenAI models
This tutorial provides step-by-step instructions for configuring and querying an external model endpoint that serves OpenAI models.
Use Azure Databricks to Orchestrate MLOps - Azure Architecture …
In this architecture, Azure Databricks integrates with enterprise security, provides high availability, and connects MLflow and other machine learning components for end-to-end MLOps.
Tutorial: Build your first machine learning model on Azure Databricks
2025年8月14日 · Learn how to build a simple machine learning classification model on Databricks using the scikit-learn library.
MLflow system tables reference - Azure Databricks | Microsoft Learn
Learn to use the MLflow system tables to query experiment run metadata in your Azure Databricks account.
MLflow Tracking | MLflow
MLflow Tracking The MLflow Tracking is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. …
Use managed identity to access mlflow models and artifacts
2025年5月15日 · Hello! I am new to Azure Databricks and have a question: In my current setup, I am running some containerized python code within an azure functions app. In this code, I need to …
Custom models overview - Azure Databricks | Microsoft Learn
2025年12月20日 · Learn about logging custom models, compute types, dependencies, and expectations for Mosaic AI Model Serving.
MLOps Gym - Beginners Guide to MLflow - Databricks Community
2024年3月20日 · Among its many advantages, the managed version of MLflow natively integrates with Databricks Notebooks, making it simpler to kickstart your MLOps journey. For a detailed comparison …
MLflow experiment - Azure Databricks | Microsoft Learn
2024年8月29日 · Learn how to load MLflow experiment run data using Azure Databricks.