def gradient_boosting(X_train, y_train):
gb = GradientBoostingRegressor(learning_rate = 0.1, max_depth = 10, n_estimators = 400, verbose=True, max_features = 2000, random_state=42)
gb.fit_transform(X_train, y_train)
return gb
def gradient_boosting(X_train, y_train):
gb = GradientBoostingRegressor(learning_rate = 0.1, max_depth = 10, n_estimators = 400, verbose=True, max_features = 2000, random_state=42)
gb.fit_transform(X_train, y_train)
return gb
