Overview of the designer
AzureML Studio offers a graphical designer that allows you to author pipelines visually. As per the definition, a pipeline is an independently executable flow of subtasks that describes a machine learning task. There are three types of pipelines that you can create within the designer:
- Training pipelines: These pipelines are used for training models.
- Batch inference pipelines: These pipelines are used to operationalize pre-trained models for batch prediction.
- Real-time inference pipelines: These pipelines are used to expose a REST API that allows third-party applications to make real-time predictions using pre-trained models.
To create a batch and a real-time pipeline, you need to author a training pipeline. In the following sections, you will learn how to create a training pipeline and then produce a batch and real-time pipeline on top of it. In Chapter 11, Working with Pipelines, you will learn how to author similar pipelines through...
