Deploying your model
The next step is to deploy your model. Deploying a model allows you to use it to generate predictions on new data.
The model refinement process is different for each project you work on. Once you have a model that meets the criteria for your use case, you can deploy it. This will create an ML deployment, which is available in Catalog.
For more information about deploying your models in Qlik AutoML, see Working with ML deployments.
Do the following:
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In the model metrics table, click the checkbox for the model version you want to deploy. Based on model performance and absence of data leakage issues, this will likely be the top-performing model from v3.
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Click Deploy in the bottom right corner of the page.
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Type a name for your deployment, such as Customer churn deployment.
Alternatively, keep the default deployment name.
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If needed, adjust the space, description, and tags.
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Click Deploy.
Your new ML deployment will now be available in Catalog.
Click Open, or navigate back to Catalog and open the ML deployment. The ML Model Management interface will open.
You can now proceed to creating predictions with your ML deployment.