Mordicus.Containers.OperatorCompressionData.OperatorCompressionDataRegression

class OperatorCompressionDataRegression(solutionName)[source]

Class containing an OperatorCompressionDataRegression

model

regressor whose hyperparameters have been optimized by GridSearchCV

scalerParameters

scaler for the input of the regression (the parameters of the problem)

scalerCoefficients

scaler for the output of the regression (the coefficients on the reduced solution on the reducedOrderBasis - reducedCoordinates)

Returns the regressor

Returns:: regressor whose hyperparameters have been optimized by GridSearchCV
Return type:: sklearn.model_selection._search.GridSearchCV

GetScalerCoefficients()[source]

Returns the scaler for the coefficients

Returns:: scaler for the output of the regression (the coefficients on the reduced solution on the reducedOrderBasis - reducedCoordinates)
Return type:: sklearn.preprocessing._data.StandardScaler

GetScalerParameters()[source]

Returns the scaler for the parameters

Returns:: scaler for the input of the regression (the parameters of the problem)
Return type:: sklearn.preprocessing._data.StandardScaler

SetModel(model)[source]

Sets the regressor

Parameters:: model (sklearn.model_selection._search.GridSearchCV) – regressor whose hyperparameters have been optimized by GridSearchCV

SetScalerCoefficients(scalerCoefficients)[source]

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)

SetScalerParameters(scalerParameters)[source]

Sets the scaler for the parameters

Parameters:: scalerParameters (sklearn.preprocessing._data.StandardScaler) – scaler for the input of the regression (the parameters of the problem)