Qlik Predict analytics source

Use the Qlik Predict connector to load data via an analytics connection from the integrated Qlik Predict 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.

Enabling ML endpoints in Qlik Cloud

Required permissions

To use this connector, you need to have sufficient permissions for using data sources and running predictions from Qlik Predict. For full details, see:

• Working with ML predictions

• Managing permissions in shared spaces

• Managing permissions in managed spaces

Limitations

• The Qlik Predict 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.

• The Qlik Predict analytics connector does not support time series models.