I am trying to implement grid search for 3 parameters in the elasticnet regression model from sklearn and wrapping the darts RegressionModel around that. Based on the documentation of grid search, this is how I initialised the grid search:
Thank you for raising this issue. gridsearch() does not support the optimization of the parameters of the wrapped model at the moment, I added it to the roadmap.
I am trying to implement grid search for 3 parameters in the elasticnet regression model from sklearn and wrapping the darts RegressionModel around that. Based on the documentation of grid search, this is how I initialised the grid search:
However, I am getting this error:
TypeError: RegressionModel.__init__() got an unexpected keyword argument 'max_iter'
. Am I implementing it wrongly?