| import joblib | |
| import numpy as np | |
| # Load the trained model | |
| model = joblib.load("random_forest_model.pkl") | |
| def predict(features): | |
| """features: list of 24 numeric values""" | |
| features = np.array(features).reshape(1, -1) | |
| return model.predict(features)[0] | |
| import joblib | |
| import numpy as np | |
| # Load the trained model | |
| model = joblib.load("random_forest_model.pkl") | |
| def predict(features): | |
| """features: list of 24 numeric values""" | |
| features = np.array(features).reshape(1, -1) | |
| return model.predict(features)[0] | |