from src.ml.model_selection import inference_model

model = {"SVM": "D:/thesis/models/sensor1/SVM.joblib", 
         "SVM with PCA": "D:/thesis/models/sensor1/SVM with StandardScaler and PCA.joblib",
         "XGBoost": "D:/thesis/models/sensor1/XGBoost.joblib"}

# inference_model(model["SVM"], "D:/thesis/data/dataset_A/zzzAD10.TXT", column_question=10)
# inference_model(model["SVM with PCA"], "D:/thesis/data/dataset_A/zzzAD10.TXT", column_question=10)
inference_model(model["XGBoost"], "D:/thesis/data/dataset_A/zzzAD30.TXT", column_question=30)