Qlik AutoML analytics source
Use the Qlik AutoML connector to load data via an analytics connection from the integrated Qlik AutoML platform into Qlik Cloud.
This connector can apply your machine learning models (ML deployments) to data using an analytics connection. The connector sends data to specific predictive endpoints, returning predictions that can be loaded into Qlik Cloud.
For information on creating ML experiments and ML deployments, see Working with experiments.
Real-time predictions APIs, and therefore, the connector, are available with the an add-on tiers for AutoML. They are not available for customers using the capacity that is included with a Qlik Cloud subscription.
The Qlik AutoML connector is limited to 200k rows per request. These are sent to the endpoint service in batches of 2k rows. In scenarios where more rows are required to be processed, use a Loop within the Data load script to process more rows in batches.
When using in a chart expression, it is important to provide the data types of the fields as the model needs to process these in the correct string/numeric format. A limitation of server-side extensions in chart expressions is that the data types are not automatically detected as they are in the load script.
If you are using a relative connection name, and if you decide to move the app from a shared space to another shared space, or if you move your app from a shared space to your private space, then it may take some time for the analytic connection to be updated to reflect the new space location.