| Name : R-FeaLect
| |
| Version : 1.20
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.31.2
| Date : 2024-06-14 12:10:17
|
| Group : Development/Libraries/Other
| Source RPM : R-FeaLect-1.20-lp153.31.2.src.rpm
|
| Size : 0.22 MB
| |
| Packager : (none)
| |
| Summary : Scores Features for Feature Selection
|
Description :
For each feature, a score is computed that can be useful for feature
selection. Several random subsets are sampled from the input data and
for each random subset, various linear models are fitted using lars
method. A score is assigned to each feature based on the tendency of
LASSO in including that feature in the models.Finally, the average
score and the models are returned as the output. The features with
relatively low scores are recommended to be ignored because they can
lead to overfitting of the model to the training data. Moreover, for
each random subset, the best set of features in terms of global error
is returned. They are useful for applying Bolasso, the alternative
feature selection method that recommends the intersection of features
subsets.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
