calculate_fitness: Calculate the fitness of a given model.
In kunaljaydesai/GA2: Implement Genetic Variable Selection Algorithm
Description
Usage
Arguments
Value
Examples
Description
Calculate the fitness of a given model.
Usage
1
calculate_fitness(index, X, y, fit_func, family = gaussian)
Arguments
index
A vector of indices of selected variables.
X
Data frame containing all available features
y
Response variable
fit_func
Fitness function, with the default being AIC
family
description of the family of distributions to be used.
Value
A fitness value of the provided model, based on the provided fitness function.
Examples
1
fitness <- calculate_fitness(1:3, data.frame(replicate(10,sample(0:1,1000,rep=TRUE))), 1:1000, fit_func=AIC)
kunaljaydesai/GA2 documentation built on May 30, 2019, 2:15 p.m.
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Description Usage Arguments Value Examples
Description
Calculate the fitness of a given model.
Usage
1 | calculate_fitness(index, X, y, fit_func, family = gaussian)
|
Arguments
index |
A vector of indices of selected variables. |
X |
Data frame containing all available features |
y |
Response variable |
fit_func |
Fitness function, with the default being AIC |
family |
description of the family of distributions to be used. |
Value
A fitness value of the provided model, based on the provided fitness function.
Examples
1 | fitness <- calculate_fitness(1:3, data.frame(replicate(10,sample(0:1,1000,rep=TRUE))), 1:1000, fit_func=AIC)
|
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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