In Azure Machine Learning Studio, you can author regression machine learning pipelines using the Designer , which is a drag-and-drop visual interface. The Designer allows you to build end-to-end machine learning workflows by dragging and dropping data assets and components onto a canvas and connecting them to create pipelines without writing code

. Specifically for regression tasks, you can:

• Drag your dataset onto the canvas.
• Drag and drop a regression algorithm component such as Linear Regression from the Machine Learning Algorithms section.
• Add a Train Model component and connect it to the dataset and regression algorithm.
• Configure the Train Model component by selecting the target (label) variable.
• Submit the pipeline to train the regression model.

This process creates reusable pipelines that can be run repeatedly with different data or parameters, supporting efficient model training and deployment

. Thus, the Azure Machine Learning Designer is the tool you use in Azure Machine Learning Studio to author regression machine learning pipelines via a drag-and-drop interface. It supports building, training, testing, and deploying models visually, making it accessible for users without extensive coding experience