What's new in PHP-ML 0.7.0

• 07. November 2018
• 2min to read
• suggest an edit

A quick overview of new features, changes and fixes in PHP-ML 0.7.0 version

BC Breaks

Before upgrading, make sure you know about backward incompatible changes:

• SVC classifier changed the default kernel type from Kernel::LINEAR to Kernel::RBF https://github.com/php-ai/php-ml/pull/267

New features

MnistDataset

Nice and shiny new Dataset class: MnistDataset, which allow to load data from IDX data format, originally published on http://yann.lecun.com/exdb/mnist.

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.

You can download files and import it in PHP-ML in seconds:

$trainDataset = new MnistDataset(
    '/path/to/train-images-idx3-ubyte', 
    '/path/to/train-labels-idx1-ubyte'
);

SvmDataset

Helper class that loads data from SVM-Light format file.

$dataset = new SvmDataset('3x4.svm');

KMeans supports associative clustering

If you need to keep your identifiers along with yours samples you can use array keys as labels.

$samples = [ 'Label1' => [1, 1], 'Label2' => [8, 7], 'Label3' => [1, 2]];

$kmeans = new KMeans(2);
$kmeans->cluster($samples);

$samples are now:

[0 => [
    'Label1' => [1, 1],
    'Label3' => [1, 2]
], 1 => [
    'Label2' => [8, 7]
]]

Changes

Implement "Keep a Changelog" format

All notable changes to this project will be documented in CHANGELOG.md file. The format is based on Keep a Changelog.

Imputer

Imputer class throws exception when trying to transform without train data https://github.com/php-ai/php-ml/pull/314.

MLPClassifier

MLPClassifier return labels in getOutput:

$classifier = new MLPClassifier(2, [2, 2], ['T', 'F']);
echo $classifier->getOutput();

returns:

Array(2) {
    ["T"] => double(0.49998073561334)
    ["F"] => double(0.5000098880817)
  }

instead of:

Array(2) {
  [0] => double(0.49998073561334)
  [1] => double(0.5000098880817)
}

Fixes

• SVM is now non-locale aware https://github.com/php-ai/php-ml/pull/288
• Ensure DataTransformer::testSet samples array is not empty https://github.com/php-ai/php-ml/pull/204
• Check if feature exist when predict target in NaiveBayes https://github.com/php-ai/php-ml/pull/327

Thanks to all contributors.

You can find full list of changes in release notes: https://github.com/php-ai/php-ml/releases/tag/0.7.0