New enhancements for Qlik AutoML

Qlik AutoML has an enhanced user experience and improved capabilities.

Enhanced user interface for ML experiments

A tabbed interface allows you to navigate between various processes in your model training experience. The various tabs, as well as the experiment configuration panel, allow you to perform numerous tasks to help you train and optimize your model.

Navigating the experiment interface

Intelligent model optimization

Intelligent model optimization provides automatic refinement of the models you train in an experiment. With intelligent model optimization, features that can negatively affect model performance are automatically excluded from model training. With a well-prepared training dataset that includes all relevant features, you can expect intelligent model optimization to train ready-to-deploy models within a single version.

Intelligent model optimization

Embedded analytics

Enhanced capabilities for model analysis have been added to Qlik AutoML:

• In the Compare tab of the experiment, you can view all model scores and hyperparameters for the models you train.

  Comparing models

• In the Analyze tab of the experiment, you can focus on a single model for in-depth analysis of its predictive performance.

  Performing detailed model analysis