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Copy file name to clipboardExpand all lines: articles/machine-learning/tutorial-designer-automobile-price-train-score.md
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@@ -63,13 +63,16 @@ You need an Azure Machine Learning workspace to use the designer. The workspace
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1. Sign in to <ahref="https://ml.azure.com?tabs=jre"target="_blank">ml.azure.com</a>, and select the workspace you want to work with.
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1. Select **Designer**.
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1. Select **Designer** -> **Classic prebuilt**
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:::image type="content" source="./media/tutorial-designer-automobile-price-train-score/launch-designer.png" alt-text="Screenshot of the visual workspace showing how to access the designer.":::
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1. Select **Easy-to-use prebuilt components**.
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1. Select **Create a new pipeline using classic prebuilt components**.
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1. Click the pencile icon besides the automtatically geneate pipeline draft name, rename it to *Automobile price prediction*. The name doesn't need to be unique.
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1. Open the **Settings** pane to the right of the canvas, and scroll to **Draft name** text box. Rename it to *Automobile price prediction*. The name doesn't need to be unique.
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## Set the default compute target
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There are several sample datasets included in the designer for you to experiment with. For this tutorial, use **Automobile price data (Raw)**.
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1. To the left of the pipeline canvas is a palette of datasets and components. Select **Data**.
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1. To the left of the pipeline canvas is a palette of datasets and components. Select **Component** -> **Sample data**.
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1. Select the dataset **Automobile price data (Raw)**, and drag it onto the canvas.
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:::image type="content" source="./media/tutorial-designer-automobile-price-train-score/drag-data.gif" alt-text="Gif of dragging the Automobile price data to the canvas.":::
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:::image type="content" source="./media/tutorial-designer-automobile-price-train-score/automobile-data.png" alt-text="Gif of dragging the Automobile price data to the canvas.":::
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