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Runtime error
Runtime error
feat(prediction): add mlp and improve requirement text
Browse files
requirements.txt
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Binary files a/requirements.txt and b/requirements.txt differ
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src/agents/l3_classifier.py
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@@ -0,0 +1,29 @@
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import joblib
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from fastapi import HTTPException
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class Classifier:
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def __init__(self, model_path: str = "src/models/l3_MLP_CLASSIFIER_V0.joblib"):
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try:
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saved = joblib.load(model_path)
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self.model = saved["model"]
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self.scaler = saved.get("scaler", None)
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self.features = saved.get("features", None)
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except FileNotFoundError:
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raise HTTPException(status_code=500, detail=f"Modèle '{model_path}' introuvable")
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Erreur lors du chargement du modèle: {e}")
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def predict(self, data):
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try:
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# Préparer les features
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X = data[self.features]
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# Standardisation si scaler présent
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if self.scaler is not None:
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X = self.scaler.transform(X)
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# Prédictions
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preds = self.model.predict(X)
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return preds.tolist()
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Erreur lors de la prédiction: {e}")
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src/controllers/prediction_controller.py
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@@ -5,6 +5,7 @@ from src.services.report import summarize_predictions
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from src.agents.l1_screener import Screener
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from src.agents.l2_supervisor import Supervisor
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def global_prediction_on_csv(file: UploadFile):
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try:
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@@ -23,10 +24,14 @@ def global_prediction_on_csv(file: UploadFile):
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supervisor = Supervisor()
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l2_summary = summarize_predictions(supervisor.predict, data)
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return {
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"l1": l1_summary,
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"l2": l2_summary
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}
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except HTTPException:
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from src.agents.l1_screener import Screener
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from src.agents.l2_supervisor import Supervisor
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from src.agents.l3_classifier import Classifier
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def global_prediction_on_csv(file: UploadFile):
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try:
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supervisor = Supervisor()
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l2_summary = summarize_predictions(supervisor.predict, data)
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classifier = Classifier()
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l3_summary = summarize_predictions(classifier.predict, data)
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return {
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"l1": l1_summary,
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"l2": l2_summary,
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"l3": l3_summary
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}
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except HTTPException:
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src/models/l3_MLP_CLASSIFIER_V0.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:512720ca01cca3fb1fb7477ebd5eb373df1b679a76a7ed45640aa22489261f56
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size 16758
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