Machine Learning Designer provides preset pipeline templates that can be used to quickly create pipelines. If you want to create a pipeline that is significantly different from any preset template, you can create a blank pipeline and add components to the pipeline to build models. The topic describes how to create a blank pipeline.
Prerequisites
A workspace is created. For more information, see Create a workspace.
Procedure
- Go to the Visualized Modeling (Machine Learning Designer) page.
- Log on to the Machine Learning Platform for AI console.
- In the left-side navigation pane, click Workspaces. On the Workspace list page, click the name of the workspace that you want to manage.
- In the left-side navigation pane, choose to go to the Visualized Modeling (Machine Learning Designer) page.
- On the Pipelines tab, choose .
- In the Create Pipeline dialog box, configure the parameters that are described in the following table and click OK.
Parameter Description Pipeline Name The name of the pipeline. Specify a name as prompted. Pipeline Data Path The path of the Object Storage Service (OSS) bucket that stores the temporary data and models generated during pipeline runtime. We recommend that you set this parameter. The system automatically creates a temporary directory in the
<Pipeline data path>/<Task ID>/<Node ID>format for each run. This saves you from creating an OSS directory for storing data of each component and allows you to manage data in a centralized manner.Description The description of the pipeline. Descriptions are used to identify pipelines. Visibility The scope at which the pipeline is visible. Valid values: - Visible to Me: The pipeline is created under the My Pipelines folder and is visible only to you and the administrators of the current workspace.
- Visible to Current Workspace: The pipeline is created under the Pipelines Visible to Workspaces folder and is visible to all members of the current workspace.