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How To Get Started with Qlik AutoML

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KellyHobson
Support
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How To Get Started with Qlik AutoML

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

 

Introduction

 

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.

localconn.png

 

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

cloudconn.png

 

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

 

Environment

 

 

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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Last update:
a week ago
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