fitness_parallel: Parallel Fitness Evaluation
In slwu89/GA: Genetic Algorithm-based Variable Selection for Generalized Linear Models
Description
Evaluate fitness in parallel using parLapply and return a numeric vector of results. Parallel evaluation
of chromosomes may be slower than calling serial fitness_serial unless P is very large.
Usage
1
fitness_parallel(pop, y, x, family, fitness_function, ncores)
Arguments
pop
list of chromosomes to evaluate fitness of
y
vector of responses
x
matrix of covariates
family
error distribution family for glm
fitness_function
fitness function passed from select
ncores
number of cores
slwu89/GA documentation built on May 14, 2019, 5:20 p.m.
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Description
Evaluate fitness in parallel using parLapply and return a numeric vector of results. Parallel evaluation
of chromosomes may be slower than calling serial fitness_serial unless P is very large.
Usage
1 | fitness_parallel(pop, y, x, family, fitness_function, ncores)
|
Arguments
pop |
list of chromosomes to evaluate fitness of |
y |
vector of responses |
x |
matrix of covariates |
family |
error distribution family for |
fitness_function |
fitness function passed from |
ncores |
number of cores |
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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