Description Usage Arguments Details Examples
View source: R/feature.lasso.R
When executed an optimal set of features according to the lambda value
that minimizes the loss is bound to a global variable features_lasso
.
1 | feature.lasso(data = data_train_numeric_clean_imputed)
|
data |
Input data |
Default dataset is data_train_numeric_clean_imputed
. The family
is gaussian
and for measuring the goodness auc
is chosen.
1 | feature.lasso(data=BostonHousing)
|
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