Data Cleaning with PHP
Data Normalization with Rubix
RubixML has a MinMaxNormalizer that scales values to a range (usually between 0 and 1). This is especially useful for features like
income and spending_score that vary widely.
Dataset
[100, 500, 25],
[150, 300, 15],
[200, 400, 20],
[50, 200, 10]
Example of use:
<?php
use Rubix\ML\Datasets\Labeled;
use Rubix\ML\Transformers\MinMaxNormalizer;
// Create a sample dataset with some numerical features
$samples = [
[100, 500, 25],
[150, 300, 15],
[200, 400, 20],
[50, 200, 10],
];
$labels = ['A', 'B', 'C', 'D'];
// Create a labeled dataset
$dataset = new Labeled($samples, $labels);
// Create a MinMaxNormalizer to scale values between 0 and 1
$normalizer = new MinMaxNormalizer(0, 1);
// Apply normalization to the dataset
$dataset->apply($normalizer);
// Print the normalized values
echo "Normalized Dataset:\n";
echo "---------------\n";
print_r($dataset->samples());