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mmahmoudian
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sivs
An iterative feature selection method that internally utilizes varius Machine Learning methods that have embeded feature reduction in order to shrink down the feature space into a small and yet robust set.
GNU General Public License v3.0
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Helper function to identify the "optimum" lambda and alpha in glmnet
#11
mmahmoudian
opened
7 months ago
0
Let the user define the seed range
#10
mmahmoudian
opened
7 months ago
0
Adding default argument values in `sivs_obj$run.info$call`
#9
matbou85
opened
7 months ago
0
Show the top two most important features in the IFE plot
#8
mmahmoudian
opened
1 year ago
0
Warning is produced when running in parallel
#7
mmahmoudian
closed
1 year ago
0
Fix issue #3
#6
mmahmoudian
closed
1 year ago
0
[fix] the issue #4 was fixed in suggest
#5
mmahmoudian
closed
1 year ago
0
Unhandled error if `suggest()`end up with no feature to return
#4
mmahmoudian
closed
1 year ago
0
Low feature count and high relative parallel cores causes error
#3
mmahmoudian
closed
1 year ago
0
If there is only one converged run, the `sivs` will break
#2
mmahmoudian
opened
2 years ago
1
[Feature request] add a debug mode
#1
mmahmoudian
opened
2 years ago
0