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How To Get Started with Qlik AutoML

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How To Get Started with Qlik AutoML



This is a guide to get you started working with Qlik AutoML.




AutoML is an automated machine learning tool in a code free environment. Users can quickly generate models for classification and regression problems with business data.


System Requirements


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) and Qlik Sense Business does not support Qlik AutoML


Pricing and Packaging


For subscription tier information, please reach out to your sales or account team to exact information on pricing. The metered pricing depends on how many models you would like to deploy, dataset size, API rate, number of concurrent task, and advanced features.


Software updates


Qlik AutoML is a part of the Qlik Cloud SaaS ecosystem. Code changes for the software including upgrades, enhancements and bug fixes are handled internally and reflected in the service automatically.


Types of Models Supported


AutoML supports Classification and Regression problems. 

Binary Classification: used for models with a Target of only two unique values. Example payment default, customer churn.

Customer Churn.csv (see downloads at top of the article)

another churn example 

Multiclass Classification:  used for models with a Target of more than two unique values. Example grading gold, platinum/silver, milk grade. 

MilkGrade.csv (see downloads at top of the article)

Regression: used for models with a Target that is a number. Example how much will a customer purchase, predicting housing prices 

AmesHousing.csv (see downloads at top of the article)


Getting Started with AutoML


What is AutoML (14 min)

Exploratory Data Analysis (11 min)

Model Scoring Basics (14 min)

Prediction Influencers (10 min)

Qlik AutoML Complete Walk Through with Qlik Sense (24 min)

Community Article for uploading data, training, deploying and predicting a model


Data Connections


Data for modeling can be uploaded from local source or via data connections available in Qlik Cloud. 

You can add a dataset or data connection with the 'Add new' green button in Qlik Cloud.



There are a variety of data source connections available in Qlik Cloud.   



Once data is loaded and available in Qlik Catalog then it can be selected to create ML experiments.


Data Preparation abilities


AutoML uses variety of data science pre-processing techniques such as Null Handling, Cardinality, Encoding, Feature Scaling. Additional reference here.


Integration with Qlik Sense


By leveraging Qlik Cloud, predicted results can be surfaced in Qlik Sense to visualize and draw additional conclusions from the data.

How to join predicted output with original dataset

How to analyze SHAP values 


Contacting Support 


If you need additional help please reach out to the Support group. 

It is helpful if you have tenant id and subscription info which can be found with these steps. 


Additional resources 


Please check out our articles in the AutoML Knowledge Base.

Or post questions and comments to our AutoML Forum





The information in this article is provided as-is and to be used at own discretion. Depending on tool(s) used, customization(s), and/or other factors ongoing support on the solution below may not be provided by Qlik Support.



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