unbiasedHoldoutDomHV: Unbiased Dominated Hypervolume on Holdout Data
In mosmafs: Multi-Objective Simultaneous Model and Feature Selection
unbiasedHoldoutDomHV R Documentation
Unbiased Dominated Hypervolume on Holdout Data
Description
Calculate dominated hypervolume on holdout data. The result is
unbiased with respect to (uncorrelated with respect to objectives) noise in holdout data
performance, but it is not an estimate of real "dominated hypervolume".
Only works on two-objective performance matrices.
Usage
unbiasedHoldoutDomHV(fitness, holdout, refpoint)
Arguments
fitness
[matrix] fitness matrix of training data.
holdout
[matrix] fitness matrix of holdout data.
refpoint
[numeric] reference point.
Value
numeric
mosmafs documentation built on Nov. 3, 2022, 1:05 a.m.
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| unbiasedHoldoutDomHV | R Documentation |
Unbiased Dominated Hypervolume on Holdout Data
Description
Calculate dominated hypervolume on holdout data. The result is unbiased with respect to (uncorrelated with respect to objectives) noise in holdout data performance, but it is not an estimate of real "dominated hypervolume".
Only works on two-objective performance matrices.
Usage
unbiasedHoldoutDomHV(fitness, holdout, refpoint)
Arguments
fitness |
|
holdout |
|
refpoint |
|
Value
numeric
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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