Capítulo 3: Entrenamiento Continuo

Disparadores de Reentrenamiento

Pipeline de Reentrenamiento Automatizado

# continuous_training.py
from datetime import datetime, timedelta

def check_retraining_triggers():
    triggers = []
    
    # Check performance
    current_auc = get_production_metrics()['auc_roc']
    if current_auc < 0.82:
        triggers.append(('performance', current_auc))
    
    # Check data drift
    drift_score = calculate_drift_score()
    if drift_score > 0.15:
        triggers.append(('drift', drift_score))
    
    # Check schedule (30 days since last training)
    last_training = get_last_training_date()
    if datetime.now() - last_training > timedelta(days=30):
        triggers.append(('schedule', last_training))
    
    return triggers

def main():
    triggers = check_retraining_triggers()
    if triggers:
        print(f"Retraining triggered by: {triggers}")
        run_training_pipeline()

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