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This commit is contained in:
Matthias Guillitte
2026-09-18 23:08:19 +02:00
parent d80bfe3cdd
commit 25b03fc39a
11 changed files with 168 additions and 33 deletions
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app/Http/Controllers/PerceptronController.php
+30 -6
View File
@@ -3,6 +3,7 @@
namespace App\Http\Controllers;
use App\Events\PerceptronInitialization;
use App\Exceptions\TrainingCancelledException;
use App\Http\Requests\RunPerceptronRequest;
use App\Models\NetworksTraining\ADALINEPerceptronTraining;
use App\Models\NetworksTraining\GradientDescentPerceptronTraining;
@@ -18,9 +19,25 @@ use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
use App\Services\SynapticWeightsProvider\RandomSynapticWeights;
use App\Services\SynapticWeightsProvider\ZeroSynapticWeights;
use Illuminate\Http\Request;
use Illuminate\Support\Facades\Cache;
class PerceptronController extends Controller
{
private function cancellationKey(string $trainingId): string
{
return "perceptron-training-cancelled:{$trainingId}";
}
public function cancel(Request $request)
{
$trainingId = $request->validate([
'training_id' => ['required', 'string', 'max:100'],
])['training_id'];
Cache::put($this->cancellationKey($trainingId), true, now()->addHour());
return response()->noContent();
}
/**
* Display the specified resource.
*/
@@ -220,6 +237,8 @@ class PerceptronController extends Controller
$sessionId = $request->input('session_id', session()->getId());
$trainingId = $request->input('training_id');
Cache::forget($this->cancellationKey($trainingId));
// Zero initialization prevents hidden layers from receiving a gradient.
if ($perceptronType === 'multilayer' && $weightInitMethod === 'zeros') {
$synapticWeightsProvider = new RandomSynapticWeights;
@@ -236,17 +255,22 @@ class PerceptronController extends Controller
$datasetReader = $this->getDataSetReader($dataSet);
$networkTraining = match ($perceptronType) {
'simple' => new SimpleBinaryPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId),
'gradientdescent' => new GradientDescentPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError),
'adaline' => new ADALINEPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError),
'monolayer' => new MonoLayerPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError),
'multilayer' => new MultiLayerPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $hiddenLayers, $hiddenLayersNeurons, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError),
'simple' => new SimpleBinaryPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, fn (): bool => connection_aborted() || Cache::has($this->cancellationKey($trainingId))),
'gradientdescent' => new GradientDescentPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError, fn (): bool => connection_aborted() || Cache::has($this->cancellationKey($trainingId))),
'adaline' => new ADALINEPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError, fn (): bool => connection_aborted() || Cache::has($this->cancellationKey($trainingId))),
'monolayer' => new MonoLayerPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError, fn (): bool => connection_aborted() || Cache::has($this->cancellationKey($trainingId))),
'multilayer' => new MultiLayerPerceptronTraining($datasetReader, $learningRate, $maxEpochs, $hiddenLayers, $hiddenLayersNeurons, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId, $minError, fn (): bool => connection_aborted() || Cache::has($this->cancellationKey($trainingId))),
default => null,
};
event(new PerceptronInitialization($datasetReader->lines, $networkTraining->activationFunction, $sessionId, $trainingId));
$networkTraining->start();
try {
$networkTraining->start();
} catch (TrainingCancelledException) {
$networkTraining->cancel();
Cache::forget($this->cancellationKey($trainingId));
}
return back()->with('success', [
'message' => 'Training completed',