Cancel Training
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This commit is contained in:
2026-09-18 23:08:19 +02:00
parent d80bfe3cdd
commit 25b03fc39a
11 changed files with 168 additions and 33 deletions
@@ -8,6 +8,7 @@ use App\Models\Perceptrons\Perceptron;
use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use Closure;
class ADALINEPerceptronTraining extends NetworkTraining
{
@@ -26,8 +27,9 @@ class ADALINEPerceptronTraining extends NetworkTraining
string $sessionId,
string $trainingId,
private float $minError,
?Closure $isCancelled = null,
) {
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId, $isCancelled);
$this->perceptron = new GradientDescentPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
}
@@ -8,6 +8,7 @@ use App\Models\Perceptrons\Perceptron;
use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use Closure;
class GradientDescentPerceptronTraining extends NetworkTraining
{
@@ -26,8 +27,9 @@ class GradientDescentPerceptronTraining extends NetworkTraining
string $sessionId,
string $trainingId,
private float $minError,
?Closure $isCancelled = null,
) {
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId, $isCancelled);
$this->perceptron = new GradientDescentPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
}
@@ -10,6 +10,7 @@ use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use App\Services\SynapticWeightsProvider\SimpleNetworkWeightsProvider;
use Closure;
use Illuminate\Support\Arr;
class MonoLayerPerceptronTraining extends NetworkTraining
@@ -35,8 +36,9 @@ class MonoLayerPerceptronTraining extends NetworkTraining
string $sessionId,
string $trainingId,
private float $minError,
?Closure $isCancelled = null,
) {
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId, $isCancelled);
$this->isRegression = $datasetReader->getInputSize() === 1;
$networkWeightsProvider = new SimpleNetworkWeightsProvider($synapticWeightsProvider);
$this->network = new NetworkPerceptron(
@@ -11,6 +11,7 @@ use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use App\Services\SynapticWeightsProvider\SimpleNetworkWeightsProvider;
use Closure;
use Illuminate\Support\Arr;
class MultiLayerPerceptronTraining extends NetworkTraining
@@ -37,8 +38,9 @@ class MultiLayerPerceptronTraining extends NetworkTraining
string $sessionId,
string $trainingId,
private float $minError,
?Closure $isCancelled = null,
) {
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId, $isCancelled);
$this->labels = $datasetReader->getLabels();
$this->isRegression = $datasetReader->getOutputSize() === 1
|| ($datasetReader->getOutputSize() > 2
@@ -3,9 +3,11 @@
namespace App\Models\NetworksTraining;
use App\Events\PerceptronTrainingEnded;
use App\Exceptions\TrainingCancelledException;
use App\Models\ActivationsFunctions;
use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use Closure;
abstract class NetworkTraining
{
@@ -24,6 +26,7 @@ abstract class NetworkTraining
protected IPerceptronIterationEventBuffer $iterationEventBuffer,
protected string $sessionId,
protected string $trainingId,
protected ?Closure $isCancelled = null,
) {}
abstract public function start(): void;
@@ -50,9 +53,18 @@ abstract class NetworkTraining
protected function addIterationToBuffer(float $error, array $synapticWeights)
{
if ($this->isCancelled !== null && ($this->isCancelled)()) {
throw new TrainingCancelledException;
}
$this->iterationEventBuffer->addIteration($this->epoch, $this->datasetReader->getLastReadLineIndex(), $error, $synapticWeights);
}
public function cancel(): void
{
$this->broadcastTrainingEnded('Entraînement annulé');
}
public function getEpoch(): int
{
return $this->epoch;
@@ -9,6 +9,7 @@ use App\Models\Perceptrons\SimpleBinaryPerceptron;
use App\Services\DatasetReader\IDataSetReader;
use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use Closure;
class SimpleBinaryPerceptronTraining extends NetworkTraining
{
@@ -28,8 +29,9 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
IPerceptronIterationEventBuffer $iterationEventBuffer,
string $sessionId,
string $trainingId,
?Closure $isCancelled = null,
) {
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId, $isCancelled);
$this->perceptron = new SimpleBinaryPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
}