# from sklearn.linear_model import LinearRegression

# MODEL_CONFIGS = {"generic_v2": {"description": ""}}


# ModelConfig(
#
#     target_variable="counterfactual_water_uptake_perc",
#     lag_hours=[24, 48],
#     features=[
#         "radiation_j_cm2_5m",
#         "external_temperature_c",
#         "abs_humidity_g_kg",
#         "used_lighting_capacity_perc",
#         "hour_of_day",
#     ],
#     numbers_of_days_to_train=30,
#     task_calculate_y_pred=TASK_PREDICT_Y_GENERIC,
# ),
