請參閱將機器學習專案從 ML 工作室 (傳統) 移至 Azure Machine Learning 的相關資訊。 深入了解 Azure Machine Learning ML 工作室 (傳統) 文件即將淘汰,未來將不再更新。Azure AI 資源庫 是一個社群導向的網站,可探索及共用以 Azure AI 建置的解決方案。資源庫有各種不同的資源,可用來開發自...
In this article, you learn how to rebuild an ML Studio (classic) experiment in Azure Machine Learning. For more information on migrating from Studio (classic), see the migration overview article. Studio (classic) experiments are similar to pipelines in Azure Machine Learning. However, in Azure ...
In this article, you learn how to rebuild an ML Studio (classic) experiment in Azure Machine Learning. For more information on migrating from Studio (classic), see the migration overview article.Studio (classic) experiments are similar to pipelines in Azure Machine Learning. However, in Azure ...
請參閱將機器學習專案從 ML 工作室 (傳統) 移至 Azure Machine Learning 的相關資訊。 深入了解Azure Machine Learning ML 工作室 (傳統) 文件即將淘汰,未來將不再更新。 Azure AI 資源庫是一個社群導向的網站,可探索及共用以 Azure AI 建置的解決方案。 資源庫有各種不同的資源,可用來開發自己的分析解決方...
Check for any dependencies and if the package needs other packages that are not already in Azure ML Studio (classic), download them in zipped format and add them to the archive file. Right-click the zipped file for the package you want to upload, as well as its dependencies, clickSend to...
Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources. Seeinformation on moving machine learning projects from ML Studio (classic) to ...
What is Azure? Get started with Azure Global infrastructure Datacenter regions Trust your cloud Azure Essentials Customer stories Products and pricing Products Azure pricing Free Azure services Flexible purchase options FinOps on Azure Optimize your costs ...
What is Azure? Get started with Azure Global infrastructure Datacenter regions Trust your cloud Azure Essentials Customer stories Products and pricing Products Azure pricing Free Azure services Flexible purchase options FinOps on Azure Optimize your costs ...
Azure ML Studio 在这里，我将给出Azure ML Studio的概述。您需要注册Azure portal并选择Machine Learning Studio启动它。它在浏览器中打开，如下图所示。它是工作台软件，预先定义了建立和训练模型时要遵循的协议。根据图像，可视化工作区允许开发人员快速创建模型和可视化数据，只需单击几下鼠标。它有6个高级导航菜单...
You can use Microsoft Azure ML Studio to log payload, feedback, and to measure performance accuracy, runtime bias detection, explainability, and auto-debias function in IBM Watson OpenScale.