ML Ecosystem in PHP

Learning examples

These examples will help you understand how you can use ML in PHP. They are not full-fledged applications, but they will help you understand the basics of working with ML in PHP.

Example with TransformersPHP

TransformersPHP gives you a simple pipeline API for tasks like sentiment analysis, text classification or semantic comparison. The snippet below runs a sentiment model on two short phrases and shows the resulting label and score.

Example of use


                
<?php

use function Codewithkyrian\Transformers\Pipelines\pipeline;

// Allocate a pipeline for sentiment analysis
$classifier = pipeline('sentiment-analysis');

$out = $classifier(['I love transformers!']);
echo print_r($out, true) . PHP_EOL;

$out = $classifier(['I hate transformers!']);
echo print_r($out, true);

Result: Memory: 0.001 Mb Time running: < 0.001 sec.


                Array
(
    [label] => POSITIVE
    [score] => 0.99978870153427
)

Array
(
    [label] => NEGATIVE
    [score] => 0.99863630533218
)