selection and individual, remove cyclic dependencies for PushArgs
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@ -4,12 +4,12 @@ import System.Random.Shuffle
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import System.Random
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import Data.List
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import Data.Maybe
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import HushGP.Genome
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import HushGP.Utility
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import HushGP.GP.PushData
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import HushGP.GP.PushArgs
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import HushGP.Tools.Metrics
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import HushGP.Instructions.Utility
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import HushGP.GP.Individual
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-- |Sets the index of the passed training data.
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assignIndicesToData :: [PushData] -> [PushData]
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24
src/HushGP/GP/Individual.hs
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24
src/HushGP/GP/Individual.hs
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module HushGP.GP.Individual where
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import HushGP.State
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-- | The structure for an individual containing the genome, the totalFitness, and
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-- the individual fitness cases for lexicase.
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data Individual = Individual
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{ plushy :: [Gene],
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totalFitness :: Maybe Double,
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fitnessCases :: Maybe [Double]
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}
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deriving (Show, Eq)
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instance Ord Individual where
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ind0 <= ind1 = totalFitness ind0 <= totalFitness ind1
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-- | Extracts the fitnessCases from an Individual. Errors if the field is empty.
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extractFitnessCases :: Individual -> [Double]
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extractFitnessCases Individual {fitnessCases = Nothing} = error "Error: fitnessCases is empty!"
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extractFitnessCases Individual {fitnessCases = Just xs} = xs
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extractTotalFitness :: Individual -> Double
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extractTotalFitness Individual {totalFitness = Nothing} = error "Error: totalFitness is empty!"
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extractTotalFitness Individual {totalFitness = Just x} = x
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@ -3,6 +3,7 @@ module HushGP.GP.PushArgs where
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import HushGP.State
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import HushGP.Instructions
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import HushGP.GP.PushData
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import HushGP.GP.Individual
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import Data.Map qualified as Map
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-- | The structure holding the arguments for the various aspects
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@ -96,7 +97,11 @@ data PushArgs = PushArgs
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epsilons :: Maybe [Double],
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-- | Used with the CaseMaxminAuto downsampling strategy. Tells downsampling to stop when
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-- the maximum minimum distance is too far away.
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caseDelta :: Double
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caseDelta :: Double,
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-- | Used in lexicase selection. If initialCases is present will use those before randomly
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-- selecting from the population for initial cases. Can raise a value into the IO monad using
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-- `pure @IO`
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initialCases :: Maybe [Int]
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}
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-- | The default values for which all runs of Hush derive
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@ -143,5 +148,6 @@ defaultPushArgs = PushArgs {
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umadRate = 0.1,
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variation = Map.fromList [("umad", 1.0)],
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epsilons = Nothing,
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caseDelta = 0
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caseDelta = 0,
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initialCases = Nothing
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}
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32
src/HushGP/GP/Selection.hs
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32
src/HushGP/GP/Selection.hs
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@ -0,0 +1,32 @@
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module HushGP.GP.Selection where
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import Data.List
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import System.Random
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import System.Random.Shuffle
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import HushGP.GP.PushArgs
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import HushGP.GP.Individual
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-- | Tournament selection based off tournament size from PushArgs and a population.
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-- Takes the individual with the lowest total error in the tournament.
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tournamentSelection :: PushArgs -> [Individual] -> IO Individual
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tournamentSelection PushArgs{tournamentSize = tSize} pop = do
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shuffledPop <- shuffle' pop (length pop) <$> initStdGen
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let tournSet = take tSize shuffledPop
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pure $ minimum tournSet
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-- |Selects an individual from the population using lexicase selection.
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-- Lexicase parent selection filters the population by considering one random training case at a time,
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-- eliminating any individuals with errors for the current case that are worse than the best error in the selection pool,
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-- until a single individual remains. This is the top level function.
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lexicaseSelection :: PushArgs -> [Individual] -> IO Individual
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lexicaseSelection PushArgs{initialCases = iCases} pop = do
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startCases <- maybe (shuffle' [0..lehp] lehp <$> initStdGen) (pure @IO) iCases
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undefined
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where
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lehp :: Int -- length of the extracted fitness cases of the head of the passed population.
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lehp = length $ extractFitnessCases $
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case uncons pop of
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Just (x, _) -> x
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_ -> error "Error: Population in lexicaseSelection cannot be empty!"
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-- lexicaseSelection' ::
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@ -1,7 +1,7 @@
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module HushGP.GP.Variation where
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import HushGP.Genome
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import HushGP.GP.PushArgs
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import HushGP.GP.Individual
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newIndividual :: PushArgs -> [Individual] -> Individual
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newIndividual = error "Implement this later"
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