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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
one_hot_encode
Converts a matrix of categorical values into a matrix of Boolean values.

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- 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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Frequently Asked Questions
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one_hot_encode

Converts a matrix of categorical values into a matrix of Boolean values.

Attention: Available only with Twin Activate commercial edition.

Syntax

bdata = one_hot_encode(cdata)

Inputs

cdata: The categorical values.; Type: integer; Dimension: matrix

Outputs

bdata: The one hot encoded values.; Type: Boolean; Dimension: matrix

Example

Usage of apriori:

cdata = [1 2 3 4; 1 2 5 6];
bdata = one_hot_encode(cdata)


bdata = [Matrix] 2 x 6
1 1 1 1 0 0
1 1 0 0 1 1