stat243proj/GA
Appllies a modified genetic algorithm to some dataset, in order to assess what combination of predictor variables are best able to predict

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stat243proj/GA: Appllies a modified genetic algorithm to some dataset, in order to assess what combination of predictor variables are best able to predict
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Man pages for stat243proj/GA
Appllies a modified genetic algorithm to some dataset, in order to assess what combination of predictor variables are best able to predict

AssessFitnessQuantify the 'fitness' of a given linear model
BreedCreate an ensemble of 'children' from a given generation of...
CrossOverMutateCreate a childe from two parents allowing for mutation
ExtractBestIndividualIndentify the individual with the best fitness in a given...
ExtractResponseVariableExtract response variable from dataframe
FitnessFunctionDetermine the fitness of the result of a given linear model
ReplaceClonesRemove genetic clones from a given generation
SelectApply a genetic algorithm to find the optimal co-variates in...
stat243proj/GA documentation built on May 15, 2019, 5:03 a.m.

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