Machine learning with Qlik AutoML
Automated machine learning finds patterns in your data and uses them to make predictions on future data. Machine learning experiments in the Qlik Cloud hub let you collaborate with other users and integrate your predictive analytics in Qlik Sense apps. In addition to making predictions, you can do an in-depth analysis of the key features that influence the predicted outcome.
Load historical data from Catalog, start the automated machine learning process, and then choose the best-fitting machine learning model for your use case. Deploy the models to make predictions on the outcome of business problems. Explore the variables that impact the predicted outcome, and gain a thorough understanding of your data.
Qlik AutoML is available to customers with the following subscription products:
Qlik Sense Enterprise SaaS
Qlik Sense Enterprise SaaS Add-On to Client-Managed
Qlik Sense Enterprise SaaS - Government (US) does not support Qlik AutoML.
Qlik Sense Business does not support Qlik AutoML.
Before you create an experiment, you need to define a machine learning question and prepare a dataset. Learn more here.
Learn about the model metrics that are available for scoring predictive models.
Learn about deploying models, making predictions, using the API, and more.