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Results tagged with regularization
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user 271006
Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.
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Interpretation of the Group LASSO and LASSO coefficients when standardizing and not standard...
Now I want to apply LASSO and Group LASSO to both datasets using glmnet and grplasso [1], as answered here:
if you estimate such models with regularization, for example ridge, lasso or the elastic … The regularization takes care of the singularities, and more important, the prediction obtained may depend on which columns you leave out. That will not happen when you do not use regularization. …
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