generate_weights: Generates normalized weight vector of k dimensions and s...
In ingridas/EPICR: An Implementation of Efficient Pareto Iterative Classification Method
Description
Usage
Arguments
Value
Examples
View source: R/generate_weigths.R
Description
Generates normalized weight vector of k dimensions and s divisions, so that each weight vector is near
the previous one. It uses the method of generating reflected k-ary Gray codes.
Usage
1
generate_weights(s, k)
Arguments
s
- divisions
k
- dimension
Value
The normalized weight vectors
Examples
1
2
generate_weights(10, 2)
generate_weights(5, 3)
ingridas/EPICR documentation built on May 18, 2019, 4:54 a.m.
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Description Usage Arguments Value Examples
View source: R/generate_weigths.R
Description
Generates normalized weight vector of k dimensions and s divisions, so that each weight vector is near the previous one. It uses the method of generating reflected k-ary Gray codes.
Usage
1 | generate_weights(s, k)
|
Arguments
s |
- divisions |
k |
- dimension |
Value
The normalized weight vectors
Examples
1 2 | generate_weights(10, 2)
generate_weights(5, 3)
|
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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