feat(ml): add XGBoost model to inference options and update commented inference calls
This commit is contained in:
@@ -1,6 +1,9 @@
|
||||
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"}
|
||||
"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/zzzAD2.TXT", column_question=1)
|
||||
# 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)
|
||||
Reference in New Issue
Block a user