Export to create a model
In just a few clicks from your data flow, you can export your transformed data and start creating an ML model in Canvas. Canvas saves your data as a Canvas dataset, and you're taken to the model build configuration page for a new model.
To create a Canvas model with your transformed data:
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Navigate to your data flow.
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Choose the ellipsis icon next to the node that you're exporting.
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From the context menu, choose Create model.
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In the Export to create a model side panel, enter a Dataset name for the new dataset.
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Leave the Process entire dataset option selected to process and export your entire dataset before proceeding with building a model. Turn this option off to train your model using the interactive sample data you are working with in your data flow.
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Enter a Model name to name the new model.
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Select a Problem type, or the type of model that you want to build. For more information about the supported model types in SageMaker Canvas, see How custom models work.
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Select the Target column, or the value that you want the model to predict.
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Choose Export and create model.
The Build tab for a new Canvas model should open, and you can finish configuring and training your model. For more information about how to build a model, see Build a model.
