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https://github.com/Llewellynvdm/php-ml.git
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726cf4cddf
* travis: move coveralls here, decouple from package * composer: use PSR4 * phpunit: simpler config * travis: add ecs run * composer: add ecs dev * use standard vendor/bin directory for dependency bins, confuses with local bins and require gitignore handling * ecs: add PSR2 * [cs] PSR2 spacing fixes * [cs] PSR2 class name fix * [cs] PHP7 fixes - return semicolon spaces, old rand functions, typehints * [cs] fix less strict typehints * fix typehints to make tests pass * ecs: ignore typehint-less elements * [cs] standardize arrays * [cs] standardize docblock, remove unused comments * [cs] use self where possible * [cs] sort class elements, from public to private * [cs] do not use yoda (found less yoda-cases, than non-yoda) * space * [cs] do not assign in condition * [cs] use namespace imports if possible * [cs] use ::class over strings * [cs] fix defaults for arrays properties, properties and constants single spacing * cleanup ecs comments * [cs] use item per line in multi-items array * missing line * misc * rebase
81 lines
1.6 KiB
PHP
81 lines
1.6 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml;
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class Pipeline implements Estimator
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{
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/**
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* @var array|Transformer[]
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*/
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private $transformers = [];
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/**
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* @var Estimator
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*/
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private $estimator;
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/**
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* @param array|Transformer[] $transformers
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*/
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public function __construct(array $transformers, Estimator $estimator)
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{
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foreach ($transformers as $transformer) {
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$this->addTransformer($transformer);
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}
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$this->estimator = $estimator;
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}
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public function addTransformer(Transformer $transformer): void
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{
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$this->transformers[] = $transformer;
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}
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public function setEstimator(Estimator $estimator): void
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{
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$this->estimator = $estimator;
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}
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/**
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* @return array|Transformer[]
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*/
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public function getTransformers(): array
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{
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return $this->transformers;
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}
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public function getEstimator(): Estimator
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{
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return $this->estimator;
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}
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public function train(array $samples, array $targets): void
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{
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foreach ($this->transformers as $transformer) {
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$transformer->fit($samples);
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$transformer->transform($samples);
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}
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$this->estimator->train($samples, $targets);
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}
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/**
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* @return mixed
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*/
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public function predict(array $samples)
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{
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$this->transformSamples($samples);
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return $this->estimator->predict($samples);
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}
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private function transformSamples(array &$samples): void
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{
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foreach ($this->transformers as $transformer) {
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$transformer->transform($samples);
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}
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}
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}
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