Mekam commited on
Commit
5e89f69
·
1 Parent(s): 64ec546

feat(prediction): add mlp and improve requirement text

Browse files
requirements.txt CHANGED
Binary files a/requirements.txt and b/requirements.txt differ
 
src/agents/l3_classifier.py CHANGED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import joblib
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+ from fastapi import HTTPException
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+
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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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+
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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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+
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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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+
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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}")
src/controllers/prediction_controller.py CHANGED
@@ -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:
@@ -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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+
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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:
src/models/l3_MLP_CLASSIFIER_V0.joblib ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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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