ML Studio (classic) documentation is being retired and may not be updated in the future. In this article, you can learn about the metrics you can use to monitor model performance in Machine Learning Studio (classic). Evaluating the performance of a model is one of the core stages in the ...
See information on moving machine learning projects from ML Studio (classic) to Azure Machine Learning. Learn more about Azure Machine Learning. ML Studio (classic) documentation is being retired and may not be updated in the future. Learn about the error messages and exception codes...
Learn more about Azure Machine Learning ML Studio (classic) documentation is being retired and may not be updated in the future.After a web service is deployed, a default endpoint is created for that service. The default endpoint can be called by using its API key. You can add more endpoin...
ML Studio (classic) documentation is being retired and may not be updated in the future.Learn how to migrate from Studio (classic) to Azure Machine Learning. Azure Machine Learning provides a modernized data science platform that combines no-code and code-first approaches.This...
Learn more about Azure Machine Learning. ML Studio (classic) documentation is being retired and may not be updated in the future.This article describes the .NET data types that are supported in Machine Learning Studio (classic) for external data. It also describes the custom data type classes ...
ML Studio (classic) documentation is being retired and may not be updated in the future. Increases the number of low incidence examples in a dataset using synthetic minority oversampling Category:Data Transformation / Manipulation Note Applies to: Machine Learning Studio (classic)only ...
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ai-studio-dev (Public Preview) Environment for Generative AI on Azure containing the Prompt flow SDK with the latest compatible versions of Debian Linux and Python. This environment is part of a preview feature, and subject to the supplemental terms of use for [Microsoft Azure Previews](https:...
Use theAzure MLcommand in the Command Palette (⇧⌘P(Windows, LinuxCtrl+Shift+P)) or the Azure Machine Learning View in VS Code to simplify the specification file authoring process. Language support The Azure Machine Learning extension cross-references all values with resources in your default...