loc.feature.selection: Main function for local feature selection
In celehs/KESER: Knowledge Extraction via Sparse Embedding Regression (KESER)
View source: R/loc-feature-selection.R
loc.feature.selection R Documentation
Main function for local feature selection
Description
Main function for local feature selection
Usage
loc.feature.selection(
X_full,
Y_full,
X_train,
Y_train,
X_valid,
Y_valid,
alpha = 1,
lambda_lst = NULL,
up_rate = 10,
drop_rate = 0.5,
cos_cut = 0.1,
add.ridge = TRUE
)
Arguments
X_full
...
Y_full
...
X_train
...
Y_train
...
X_valid
...
Y_valid
...
alpha
...
lambda_lst
...
up_rate
...
drop_rate
...
cos_cut
...
add.ridge
...
celehs/KESER documentation built on April 7, 2022, 9:35 a.m.
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View source: R/loc-feature-selection.R
| loc.feature.selection | R Documentation |
Main function for local feature selection
Description
Main function for local feature selection
Usage
loc.feature.selection( X_full, Y_full, X_train, Y_train, X_valid, Y_valid, alpha = 1, lambda_lst = NULL, up_rate = 10, drop_rate = 0.5, cos_cut = 0.1, add.ridge = TRUE )
Arguments
X_full |
... |
Y_full |
... |
X_train |
... |
Y_train |
... |
X_valid |
... |
Y_valid |
... |
alpha |
... |
lambda_lst |
... |
up_rate |
... |
drop_rate |
... |
cos_cut |
... |
add.ridge |
... |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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