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articles/machine-learning/concept-designer.md

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Designer in Azure Machine Learning studio is a drag-and-drop user interface for building machine learning pipelines in Azure Machine Learning workspaces.
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The following animated GIF shows how you can build a pipeline visually in Designer by dragging and dropping building blocks and connecting them.
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## Classic prebuilt (v1) or custom (v2) assets
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:::image type="content" source="./media/concept-designer/designer-drag-and-drop.gif" alt-text="GIF of a building a pipeline in the designer." lightbox= "./media/concept-designer/designer-drag-and-drop.gif":::
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Designer supports two types of pipeline elements: classic prebuilt (v1) or custom (v2). These two types aren't compatible in pipelines. *This article applies to custom components.*
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## Classic prebuilt (v1) or custom (v2) components
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- **Classic prebuilt components (v1)** support typical data processing and machine learning tasks like regression and classification. Azure Machine Learning continues to support the existing classic prebuilt components, but no new prebuilt components are being added. For information about classic prebuilt components and Designer (v1), see [Azure Machine Learning designer (v1)](/azure/machine-learning/concept-designer?view=azureml-api-1&preserve-view=true).
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Designer supports two types of pipeline components: classic prebuilt (v1) or custom (v2). These two types of components aren't compatible. This article applies to custom components.
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- **Custom components (v2)** let you wrap your own code as components, enabling sharing across workspaces and seamless authoring across Azure Machine Learning studio, CLI v2, and SDK v2 interfaces. It's best to use custom components for new projects, because they're compatible with Azure Machine Learning v2 and continue to receive new updates.
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- **Classic prebuilt components (v1)** support typical data processing and machine learning tasks like regression and classification. Support continues for existing classic prebuilt components, but no new prebuilt components are being added. For more information about Designer v1, see [Azure Machine Learning designer (v1)](v1/concept-designer.md?view=azureml-api-1&preserve-view=true).
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The following animated GIF shows how you can build a pipeline visually in Designer by dragging and dropping assets and connecting them.
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- **Custom components (v2)** let you wrap your own code as components, enabling sharing across workspaces and seamless authoring across Azure Machine Learning studio, CLI v2, and SDK v2 interfaces. It's best to use custom components for new projects, because they're compatible with Azure Machine Learning v2 and continue to receive new updates.
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:::image type="content" source="./media/concept-designer/designer-drag-and-drop.gif" alt-text="GIF of a building a pipeline in the designer." lightbox= "./media/concept-designer/designer-drag-and-drop.gif":::
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## Assets library
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## Assets libraries
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Designer uses building blocks from the Azure Machine Learning asset library to create pipelines. The asset library includes the following pipeline building blocks:
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Designer uses building blocks from Azure Machine Learning asset libraries to create pipelines. The asset libraries includes the following pipeline building blocks:
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- [Data](concept-data.md)
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- [Models](how-to-manage-models.md?view=azureml-api-2&preserve-view=true&tabs=cli)
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- [Components](concept-component.md)
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The asset libraries on the left side of the designer show both assets you created in your workspace and assets shared in all Azure Machine Learning [registries](./how-to-share-models-pipelines-across-workspaces-with-registries.md) that you have access to.
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To see assets from specific registries, select the **Registry name** filter above the asset libraries. The assets you created in your current workspace are in the **Workspace** registry. The assets provided by Azure Machine Learning are in the **azureml** registry.
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The asset libraries on the left side of Designer show assets you create in your workspace and assets shared in all Azure Machine Learning [registries](./how-to-share-models-pipelines-across-workspaces-with-registries.md) that you have access to.
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:::image type="content" source="./media/concept-designer/asset-library.png" alt-text="Screenshot of the asset libraries filtered for one registry." lightbox= "./media/concept-designer/asset-library.png":::
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To view assets from specific registries, select the **Registry name** filter above the asset libraries. The assets you create in your current workspace are in the **Workspace** registry. The assets provided by Azure Machine Learning are in the **azureml** registry.
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To learn how to create data and component assets in your workspace, see the following articles:
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- [How to create data assets](./how-to-create-data-assets.md)
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- [How to create components](./how-to-create-component-pipelines-ui.md)
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## Pipelines
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You can use Designer to visually create pipelines with your assets. When you open Designer, you see two tabs at the bottom of the screen: **Pipeline drafts** and **Pipeline jobs**.
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You can use Designer to visually build pipelines with your assets. You can either create new pipelines or clone and build on existing pipeline jobs.
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:::image type="content" source="./media/concept-designer/pipeline-draft-and-job.png" alt-text="Screenshot of pipeline draft and pipeline job list." lightbox= "./media/concept-designer/pipeline-draft-and-job.png":::
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### New pipeline
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Selecting the **+** symbol under **New pipeline** at the top of the Designer screen creates a new pipeline to build from scratch. Be sure to select the **Custom component** option to create the pipeline.
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:::image type="content" source="./media/concept-designer/new-pipeline.png" alt-text="Screenshot of selecting new pipeline with custom components." lightbox= "./media/concept-designer/new-pipeline.png":::
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### Pipeline drafts
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As you edit a pipeline, Designer saves your progress as a pipeline draft. You can edit a pipeline draft anytime by adding or removing components, configuring compute targets, and setting parameters.
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The two tabs under **Pipelines** at the bottom of the Designer screen show the existing **Pipeline drafts** and **Pipeline jobs** in your workspace.
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:::image type="content" source="./media/concept-designer/pipeline-draft-and-job.png" alt-text="Screenshot of pipeline draft and pipeline job list." lightbox= "./media/concept-designer/pipeline-draft-and-job.png":::
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As you build a pipeline, Designer saves your progress as a pipeline draft. You can edit a pipeline draft anytime by adding or removing components, configuring compute targets, and setting parameters.
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A valid pipeline draft has the following characteristics:
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- All required input ports for components must have some connection to the data flow.
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- All required parameters for each component must be set.
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When you're ready to run your pipeline draft, you submit a pipeline job.
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When you're ready to run your pipeline draft, you save it and submit it as a pipeline job.
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### Pipeline jobs
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Each time you run a pipeline, the configuration of the pipeline and its results are stored in your workspace as a pipeline job. You can resubmit any past pipeline job, inspect it for troubleshooting or auditing, or clone it to create a new pipeline draft for further editing.
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Each time you run a pipeline, the pipeline configuration and results are stored in your workspace as a pipeline job. You can resubmit any past pipeline job, inspect it for troubleshooting or auditing, or clone it to create a new pipeline draft for further editing.
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## Ways to build pipelines
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You can edit and resubmit your pipelines. After submitting, you can see the lineage between the job you submit and the original job by selecting **Show lineage** in the job detail page.
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In Designer, you can create new pipelines or clone and build on existing workspace pipeline jobs.
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### Clone a pipeline job
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### New pipeline from scratch
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You can create a new pipeline and build it from scratch. Be sure to select the **Custom component** option when you create the pipeline in Designer.
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:::image type="content" source="./media/concept-designer/new-pipeline.png" alt-text="Screenshot of selecting new pipeline with custom components." lightbox= "./media/concept-designer/new-pipeline.png":::
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### Clone an existing pipeline job
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If you want to base a pipeline on an existing pipeline job in the workspace, you can clone the job into a new pipeline draft to continue editing.
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If you want to base a new pipeline on an existing pipeline job in the workspace, you can clone the job into a new pipeline draft to continue editing.
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:::image type="content" source="./media/concept-designer/pipeline-clone.png" alt-text="Screenshot of a pipeline job in the workspace with the clone button highlighted." lightbox= "./media/concept-designer/pipeline-clone.png":::
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After cloning, you can find out which pipeline job the new pipeline was cloned from by selecting **Show lineage**.
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:::image type="content" source="./media/concept-designer/draft-show-lineage.png" alt-text="Screenshot showing the draft lineage after selecting Show lineage." lightbox= "./media/concept-designer/draft-show-lineage.png":::
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You can edit your pipeline and resubmit your pipelines. After submitting, you can see the lineage between the job you submit and the original job by selecting **Show lineage** in the job detail page.
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## Related content
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- [Create a pipeline with components (UI)](./how-to-create-component-pipelines-ui.md)
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