# -*- coding: utf-8 -*-
#
# This file is subject to the terms and conditions defined in
# file 'LICENSE', which is part of this source code package.
#
#
from Mordicus.Containers.OperatorCompressionData.OperatorCompressionDataBase import OperatorCompressionDataBase
[docs]
class OperatorCompressionDataRegression(OperatorCompressionDataBase):
"""
Class containing an OperatorCompressionDataRegression
Attributes
----------
model : sklearn.model_selection._search.GridSearchCV
regressor whose hyperparameters have been optimized by GridSearchCV
scalerParameters : sklearn.preprocessing._data.StandardScaler
scaler for the input of the regression (the parameters of the problem)
scalerCoefficients : sklearn.preprocessing._data.StandardScaler
scaler for the output of the regression (the coefficients on the
reduced solution on the reducedOrderBasis - reducedCoordinates)
"""
def __init__(self, solutionName):
super(OperatorCompressionDataRegression, self).__init__(solutionName)
self.model = None
self.scalerParameters = None
self.scalerCoefficients = None
[docs]
def SetModel(self, model):
"""
Sets the regressor
Parameters
----------
model : sklearn.model_selection._search.GridSearchCV
regressor whose hyperparameters have been optimized by GridSearchCV
"""
self.model = model
[docs]
def SetScalerParameters(self, scalerParameters):
"""
Sets the scaler for the parameters
Parameters
----------
scalerParameters : sklearn.preprocessing._data.StandardScaler
scaler for the input of the regression (the parameters of the problem)
"""
self.scalerParameters = scalerParameters
[docs]
def SetScalerCoefficients(self, scalerCoefficients):
"""
Sets the scaler for the coefficients
Parameters
----------
scalerCoefficients : sklearn.preprocessing._data.StandardScaler
scaler for the output of the regression (the coefficients on the
reduced solution on the reducedOrderBasis - reducedCoordinates)
"""
self.scalerCoefficients = scalerCoefficients
[docs]
def GetModel(self):
"""
Returns the regressor
Returns
-------
sklearn.model_selection._search.GridSearchCV
regressor whose hyperparameters have been optimized by GridSearchCV
"""
return self.model
[docs]
def GetScalerParameters(self):
"""
Returns the scaler for the parameters
Returns
-------
sklearn.preprocessing._data.StandardScaler
scaler for the input of the regression (the parameters of the problem)
"""
return self.scalerParameters
[docs]
def GetScalerCoefficients(self):
"""
Returns the scaler for the coefficients
Returns
-------
sklearn.preprocessing._data.StandardScaler
scaler for the output of the regression (the coefficients on the
reduced solution on the reducedOrderBasis - reducedCoordinates)
"""
return self.scalerCoefficients
def __str__(self):
res = "OperatorCompressionDataRegression"
return res
if __name__ == "__main__":# pragma: no cover
from Mordicus import RunTestFile
RunTestFile(__file__)