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。 在本教學課程中,您會深入瞭解開發預測性分析解決方案的程式。 您在 機器學習 Studio 中開發簡單的模型(傳統版)。 接著,您會將模型部署...
開啟 機器學習 Studio (傳統) 首頁 (https://studio.azureml.net)。 單擊視窗左上角的功能表,單擊 [Azure 機器學習],選取 [Studio],然後登入。 按兩下 視窗底部的 [+新增 ]。 選取[ 數據集]。 選擇從本機檔案。 在[ 上傳新的數據集] 對話框中,按兩下 [瀏覽],然後尋找 您所建立german.csv 檔案。
Para más información, consulte este tutorial sobre cómo crear un servicio web basado en un experimento en Azure ML Studio (clásico): Publicación de un servicio web desde Azure ML Studio (clásico) Ejemplos Para obtener ejemplos de cómo se usa Score Model en un flujo de trabajo ...
Confira informações sobre como mover projetos de machine learning do ML Studio (clássico) para o Azure Machine Learning. Saiba mais sobre o Azure Machine Learning A documentação do ML Studio (clássico) está sendo desativada e pode não ser atualizada no futuro. Neste artigo, você...
A common use of scoring is to return the output as part of a predictive web service. For more information, see this tutorial on how to create a web service based on an experiment in Azure ML Studio (classic):Publish a web service from Azure ML Studio (classic) Examples...
This tutorial walks you through the process of getting data, configuring an algorithm, training and then using a model: Create your first machine learning experiment How to use Train Model In Machine Learning Studio (classic), configure a classification model or regression model models. You can ...
微软的目标是简化使用机器学习的过程,以便于开发人员、业务分析师和数据科学家进行广泛、便捷地应用。这款服务的目的在于“将机器学习动力与云计算的简单性相结合”。AML目前在微软的Global Azure云服务平台提供服务,用户可以通过站点:https://studio.azureml.net/ 申请免费试用。
Sign into Microsoft Azure, open Azure Machine learning service, select the workspace (that was created as part of the prerequisites) and launch the studio. In the left pane, select Automated ML under the Author section. Select +New automated ML job ...
The sample ML model and even its related trainer console app were created with the ML.NET CLI. In fact, you could create the same ML Model and trainer console app by following this ML.NET CLI tutorial. This is basically the code generated by the CLI in that tutorial and what we’re ...
For a detailed walkthrough on how to train your model with your own images in Azure Cognitive Services Custom Vision check out this tutorial: How to build an image classifier model with Custom Vision Define the ML.NET pipeline model configuration ...