mark/energy_price_model_prediction
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diverse wijzigingen voor Linux implementatie

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This commit is contained in:
Mark Kors
2025-11-13 13:44:46 +01:00
parent 979a7767a3
commit 6f7f2332e6
2 changed files with 183 additions and 3 deletions
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6
train_model_linux.py
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@@ -4,7 +4,7 @@ import holidays
import xgboost as xgb
from sklearn.metrics import mean_absolute_error
print("Start training Model 1.5...")
print("Start training Model 1.5 for Linux...")
# --- 1. DATA LADEN ---
# We gebruiken de CSV die we al hadden
@@ -83,7 +83,7 @@ xgb_model_v1_5 = xgb.XGBRegressor(
early_stopping_rounds=50
)
print("\nModel v1.5 aan het trainen...")
print("\nModel v1.5 for Linux aan het trainen...")
xgb_model_v1_5.fit(
X_train, y_train,
eval_set=[(X_test, y_test)],
@@ -97,6 +97,6 @@ mae_v1_5 = mean_absolute_error(y_test, voorspellingen_v1_5)
print(f"\nNieuwe Model (v1.5) MAE: {mae_v1_5:.4f}")
# --- 7. MODEL OPSLAAN ---
MODEL_FILE = 'price_forecast_model_v1_5.json'
MODEL_FILE = 'price_forecast_model_1.5.linux.json'
xgb_model_v1_5.save_model(MODEL_FILE)
print(f"\nModel 1.5 opgeslagen als: {MODEL_FILE}")