one.IM4E: one.IM4E
In RuzhangZhao/Immigrate: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection
Description
Usage
Arguments
Value
Description
This function performs (IM4E)Iterative Margin-Maximization under Max-Min Entropy algorithm for one loop.
Usage
1
one.IM4E(train_xx, train_yy, w, sig = 1, lambda = 1)
Arguments
train_xx
model matrix of explanatory variables
train_yy
label vector
w
initial weight
sig
sigma used in algorithm, default to be 1
lambda
lambda used in algorithm, default to be 1
Value
w
new weight vector after one loop
C
cost after one loop
RuzhangZhao/Immigrate documentation built on May 24, 2020, 5:38 a.m.
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Description Usage Arguments Value
Description
This function performs (IM4E)Iterative Margin-Maximization under Max-Min Entropy algorithm for one loop.
Usage
1 | one.IM4E(train_xx, train_yy, w, sig = 1, lambda = 1)
|
Arguments
train_xx |
model matrix of explanatory variables |
train_yy |
label vector |
w |
initial weight |
sig |
sigma used in algorithm, default to be 1 |
lambda |
lambda used in algorithm, default to be 1 |
Value
w |
new weight vector after one loop |
C |
cost after one loop |
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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