2022.3

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Reference Guide for OpenMatrix Language Functions
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Machine Learning Commands
Apriori

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2022.3

What's New
Discover new features and enhancements.
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Tutorials
Start using Activate with our interactive tutorials.
User Guide
Learn about the features and functionality available in Activate.
Reference Guides
Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
- Extended Definitions for Advanced Users
  PDF file with in-depth information on key topics in the User's Guide.
- Scripting Guide for OpenMatrix Language
  OpenMatrix is a mathematical scripting language.
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
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    - Apriori
      - apriori
        Returns the frequent itemsets and the minimum support value. You can also retrieve certain L sets.
      - one_hot_decode
        Converts a struct containing encoded item sets into a struct containing categorical values.
      - one_hot_encode
        Converts a matrix of categorical values into a matrix of Boolean values.
      - print_apriori
        Shows frequent itemsets and their support counts.
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  Describes all of the blocks in the installed Activate library.
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  Provides information about developing and simulating models through the Activate Application Program Interface.
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  Key terms associated with the software.
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2022.3

Home
Reference Guides
Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
Reference Guide for OpenMatrix Language Functions
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Machine Learning Commands
Apriori

What's New
Get Started
Tutorials
User Guide
Reference Guides
Frequently Asked Questions

Apriori

Attention: Available only with Activate commercial edition.

Uses frequent item sets mining to generate association rules.

apriori
Returns the frequent itemsets and the minimum support value. You can also retrieve certain L sets.
one_hot_decode
Converts a struct containing encoded item sets into a struct containing categorical values.
one_hot_encode
Converts a matrix of categorical values into a matrix of Boolean values.
print_apriori
Shows frequent itemsets and their support counts.

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