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Azure Machine Learning studio provides UI to build and debug your pipeline. You can use components to author a pipeline in the designer, and you can debug your pipeline in the job detail page.
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This article will introduce how to use the studio UI to build and debug machine learning pipelines.
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This article introduces how to use the studio UI to build and debug machine learning pipelines.
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> [!IMPORTANT]
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> Items marked (preview) in this article are currently in public preview.
@@ -28,18 +28,25 @@ This article will introduce how to use the studio UI to build and debug machine
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### Drag and drop components to build pipeline
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In the designer homepage, you can select **New pipeline** to open a blank pipeline draft.
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>[!Note]
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> Designer supports two type of components, classic prebuilt components and custom components. These two types of components are not compatible.
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>
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>Classic prebuilt components provides prebuilt components majorly for data processing and traditional machine learning tasks like regression and classification. This type of component continues to be supported but will not have any new components added.
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>Custom components allow you to provide your own code as a component. It supports sharing across workspaces and seamless authoring across Studio, CLI, and SDK interfaces.
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>
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>In this article, we will create pipeline using custom components.
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In the asset library left of the canvas, there are **Data assets** and **Components** tabs, which contain components and data registered to the workspace. For what is component and how to create custom component, you can refer to the [component concept article](concept-component.md).
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In the designer homepage, you can select **New pipeline -> Custom** to open a blank pipeline draft.
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In the asset library left of the canvas, there are **Data**,**Model** and **Component** tabs, which contain data, model and components registered to the workspace. For what is component and how to create custom component, you can refer to the [component concept article](concept-component.md).
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You can quickly filter **My assets** or **Designer built-in assets**.
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:::image type="content" source="./media/how-to-use-pipeline-ui/asset-library.png" alt-text="Screenshot showing the asset library with filter by selected." lightbox= "./media/how-to-use-pipeline-ui/asset-library.png":::
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Then you can drag and drop either built-in components or custom components to the canvas. You can construct your pipeline or configure your components in any order. Just hide the right pane to construct your pipeline first, and open the right pane to configure your component.
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Then you can drag and drop components, data and model to build a pipeline. You can construct your pipeline or configure your components in any order. Just hide the right pane to construct your pipeline first, and open the right pane to configure your component.
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> [!NOTE]
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> Currently built-in components and custom components cannot be used together.
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:::image type="content" source="./media/how-to-use-pipeline-ui/hide-right-pane.png" alt-text="Screenshot showing the close and open button." lightbox= "./media/how-to-use-pipeline-ui/hide-right-pane.png":::
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@@ -66,6 +73,31 @@ On the pipeline job detail page, you can check the status of the overall job and
There is an optimized pipeline submission wizard to streamline your pipeline submission experience. It provides spacious space to edit pipeline inputs and outputs, and the ability to modify runtime settings, such as the default compute, at the time of submission.
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To enable this feature:
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1. Navigate to Azure Machine Learning studio UI.
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2. Select Manage preview features (megaphone icon) among the icons on the top right side of the screen.
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3. In Managed preview feature panel, toggle on **Submit pipeline jobs using the optimized submission wizard**
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:::image type="content" source="./media/how-to-use-pipeline-ui/enable-submission-wizard.png" alt-text="Screenshot showing how to enable submission wizard." lightbox= "./media/how-to-use-pipeline-ui/enable-submission-wizard.png":::
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After enabling the pipeline submission wizard, select **Configure & Submit** button on the top right to submit the pipeline job.
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Then you will see a step-by-step wizard, which allows you to edit pipeline inputs & outputs, and change runtime settings before submitting the pipeline job. Follow the wizard to submit the pipeline job.
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:::image type="content" source="./media/how-to-use-pipeline-ui/submission-wizard.png" alt-text="Screenshot showing the inputs & outputs tab of the submission wizard." lightbox= "./media/how-to-use-pipeline-ui/submission-wizard.png":::
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