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<?php |
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declare(strict_types=1); |
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namespace Phpml; |
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use Phpml\Exception\InvalidOperationException; |
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class Pipeline implements Estimator, Transformer |
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{ |
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/** |
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* @var Transformer[] |
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*/ |
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private $transformers = []; |
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/** |
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* @var Estimator|null |
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*/ |
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private $estimator; |
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/** |
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* @param Transformer[] $transformers |
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*/ |
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public function __construct(array $transformers, ?Estimator $estimator = null) |
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{ |
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$this->transformers = array_map(static function (Transformer $transformer): Transformer { |
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return $transformer; |
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}, $transformers); |
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$this->estimator = $estimator; |
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} |
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/** |
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* @return 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 $targets): void |
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{ |
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if ($this->estimator === null) { |
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throw new InvalidOperationException('Pipeline without estimator can\'t use train method'); |
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} |
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foreach ($this->transformers as $transformer) { |
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$transformer->fit($samples, $targets); |
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$transformer->transform($samples, $targets); |
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} |
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$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 $samples) |
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{ |
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if ($this->estimator === null) { |
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throw new InvalidOperationException('Pipeline without estimator can\'t use predict method'); |
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} |
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$this->transform($samples); |
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return $this->estimator->predict($samples); |
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} |
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public function fit(array $samples, ?array $targets = null): void |
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{ |
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foreach ($this->transformers as $transformer) { |
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$transformer->fit($samples, $targets); |
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$transformer->transform($samples, $targets); |
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} |
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} |
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public function transform(array &$samples, ?array &$targets = null): void |
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{ |
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foreach ($this->transformers as $transformer) { |
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$transformer->transform($samples, $targets); |
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} |
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} |
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} |
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