# -*- coding: utf-8 -*-
#
# Copyright 2015-2019 European Commission (JRC);
# Licensed under the EUPL (the 'Licence');
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at: http://ec.europa.eu/idabc/eupl
"""
Functions and constants to define the co2_params selector.
"""
import copy
import schedula as sh
from co2mpas.utils import mae
from ._core import define_sub_model
from ...physical.engine.fc import dsp as _fc
#: Model name.
name = 'co2_params'
#: Parameters that constitute the model.
models = [
'co2_params_calibrated', 'calibration_status', 'initial_friction_params',
'engine_idle_fuel_consumption', 'kco2_wltp_correction_factor'
]
#: Inputs required to run the model.
inputs = ['co2_emissions_model']
#: Relevant outputs of the model.
outputs = ['co2_emissions', 'calibration_status']
#: Targets to compare the outputs of the model.
targets = ['identified_co2_emissions', 'calibration_status']
#: Weights coefficients to compute the model score.
weights = sh.map_list(targets, 1, None)
# noinspection PyUnusedLocal
[docs]def metric_calibration_status(y_true, y_pred):
"""
Metric for the `calibration_status`.
:param y_true:
Reference calibration_status.
:type y_true: list
:param y_pred:
Predicted calibration_status.
:type y_pred: list
:return:
Error.
:rtype: list
"""
return [v[0] for v in y_pred]
#: Metrics to compare outputs with targets.
metrics = sh.map_list(targets, mae, metric_calibration_status)
#: Upper score limits to raise the warnings.
up_limit = {'identified_co2_emissions': 0.5}
#: Prediction model.
# noinspection PyProtectedMember
dsp = sh.Blueprint(copy.deepcopy(_fc).add_data(
'kco2_wltp_correction_factor'
), inputs, outputs, models)._set_cls(define_sub_model)
