| Total Complexity | 5 |
| Total Lines | 51 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | <?php |
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| 10 | abstract class Optimizer |
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| 11 | { |
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| 12 | /** |
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| 13 | * Unknown variables to be found |
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| 14 | * |
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| 15 | * @var array |
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| 16 | */ |
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| 17 | protected $theta = []; |
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| 18 | |||
| 19 | /** |
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| 20 | * Number of dimensions |
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| 21 | * |
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| 22 | * @var int |
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| 23 | */ |
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| 24 | protected $dimensions; |
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| 25 | |||
| 26 | /** |
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| 27 | * Inits a new instance of Optimizer for the given number of dimensions |
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| 28 | */ |
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| 29 | public function __construct(int $dimensions) |
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| 30 | { |
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| 31 | $this->dimensions = $dimensions; |
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| 32 | |||
| 33 | // Inits the weights randomly |
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| 34 | $this->theta = []; |
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| 35 | for ($i = 0; $i < $this->dimensions; ++$i) { |
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| 36 | $this->theta[] = (random_int(0, PHP_INT_MAX) / PHP_INT_MAX) + 0.1; |
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| 37 | } |
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| 38 | } |
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| 39 | |||
| 40 | public function setTheta(array $theta): self |
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| 41 | { |
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| 42 | if (count($theta) !== $this->dimensions) { |
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| 43 | throw new InvalidArgumentException(sprintf('Number of values in the weights array should be %s', $this->dimensions)); |
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| 44 | } |
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| 45 | |||
| 46 | $this->theta = $theta; |
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| 47 | |||
| 48 | return $this; |
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| 49 | } |
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| 50 | |||
| 51 | public function theta(): array |
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| 54 | } |
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| 55 | |||
| 56 | /** |
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| 57 | * Executes the optimization with the given samples & targets |
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| 58 | * and returns the weights |
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| 59 | */ |
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| 60 | abstract public function runOptimization(array $samples, array $targets, Closure $gradientCb): array; |
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| 61 | } |
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| 62 |