selection_strategy: Selects a decision vector from a set representing the...
In ingridas/EPICR: An Implementation of Efficient Pareto Iterative Classification Method
Description
Usage
Arguments
Value
Description
Selects a decision vector from a set representing the decision space
Usage
1
selection_strategy(s, Xu, Xe, prob.non, p.next, iter, m)
Arguments
s
- strategy ID, from 1 to 4
Xu
- unevaluated decision vectors
Xe
- evaluated decision vectors
prob.non
- probabilities of unevaluated vectors to be nondominated
p.next
- probability of nondominance the candidate vector should have to be selected to evaluate next
iter
- iteration number
m
- number of vectors to be selected selected for evaluation
Value
I - index of the selectec decision vector from Xu
ingridas/EPICR documentation built on May 18, 2019, 4:54 a.m.
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Description Usage Arguments Value
Description
Selects a decision vector from a set representing the decision space
Usage
1 | selection_strategy(s, Xu, Xe, prob.non, p.next, iter, m)
|
Arguments
s |
- strategy ID, from 1 to 4 |
Xu |
- unevaluated decision vectors |
Xe |
- evaluated decision vectors |
prob.non |
- probabilities of unevaluated vectors to be nondominated |
p.next |
- probability of nondominance the candidate vector should have to be selected to evaluate next |
iter |
- iteration number |
m |
- number of vectors to be selected selected for evaluation |
Value
I - index of the selectec decision vector from Xu
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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