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* Generating frequent k-length item sets * Generating rules based on frequent item sets * Algorithm has exponential complexity, be aware of it * Apriori algorithm is split into apriori and candidates method * Second step rule generation is implemented by rules method * Internal methods are invoked for fine grain unit tests * Wikipedia's train samples and an alternative are provided for test cases * Small documentation for public interface is also shipped
12 lines
128 B
PHP
12 lines
128 B
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\Association;
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use Phpml\Estimator;
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interface Associator extends Estimator
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{
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}
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