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2 Commits
iris_acc_N
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1e916bd6c4
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1e916bd6c4 | ||
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dcfe1ee497 |
@@ -189,7 +189,7 @@ evalResults ex trs = do
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evalResult :: LamdaExecutionEnv -> TypeRequester -> (AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass) -> (TypeRequester, FittnesRes)
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evalResult :: LamdaExecutionEnv -> TypeRequester -> (AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass) -> (TypeRequester, FittnesRes)
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evalResult ex tr result = ( tr,
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evalResult ex tr result = ( tr,
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FittnesRes
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FittnesRes
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{ total = acc * 100 + (biasSmall - 1),
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{ total = score,
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fitnessTotal = fitness',
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fitnessTotal = fitness',
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fitnessMean = meanOfAccuricyPerClass resAndTarget,
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fitnessMean = meanOfAccuricyPerClass resAndTarget,
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fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
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fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
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@@ -68,7 +68,7 @@ lEE :: LamdaExecutionEnv
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lEE =
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lEE =
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LamdaExecutionEnv
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LamdaExecutionEnv
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{ -- For now these need to define all available functions and types. Generic functions can be used.
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{ -- For now these need to define all available functions and types. Generic functions can be used.
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imports = ["LambdaDatasets.IrisDefinition"],
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imports = ["LambdaDatasets.IrisDataset"],
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training = True,
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training = True,
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trainingData =
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trainingData =
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( map fst (takeFraktion 0.8 irisTrainingData),
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( map fst (takeFraktion 0.8 irisTrainingData),
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@@ -89,7 +89,7 @@ shuffledLEE = do
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itD <- smpl $ shuffle irisTrainingData
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itD <- smpl $ shuffle irisTrainingData
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return LamdaExecutionEnv
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return LamdaExecutionEnv
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{ -- For now these need to define all available functions and types. Generic functions can be used.
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{ -- For now these need to define all available functions and types. Generic functions can be used.
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imports = ["LambdaDatasets.IrisDefinition"],
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imports = ["LambdaDatasets.IrisDataset"],
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training = True,
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training = True,
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trainingData =
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trainingData =
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( map fst (takeFraktion 0.8 itD),
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( map fst (takeFraktion 0.8 itD),
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@@ -155,7 +155,7 @@ evalResults ex trs = do
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evalResult :: LamdaExecutionEnv -> TypeRequester -> (Float -> Float -> Float -> Float -> IrisClass) -> (TypeRequester, FittnesRes)
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evalResult :: LamdaExecutionEnv -> TypeRequester -> (Float -> Float -> Float -> Float -> IrisClass) -> (TypeRequester, FittnesRes)
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evalResult ex tr result = ( tr,
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evalResult ex tr result = ( tr,
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FittnesRes
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FittnesRes
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{ total = acc * 100 + (biasSmall - 1),
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{ total = score,
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fitnessTotal = fitness',
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fitnessTotal = fitness',
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fitnessMean = meanOfAccuricyPerClass resAndTarget,
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fitnessMean = meanOfAccuricyPerClass resAndTarget,
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fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
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fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
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@@ -8,8 +8,8 @@ import Pipes
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import Pretty
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import Pretty
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import Protolude hiding (for)
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import Protolude hiding (for)
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import System.IO
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import System.IO
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import LambdaDatasets.IrisDataset
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-- import LambdaDatasets.IrisDataset
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-- import LambdaDatasets.NurseryDataset
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import LambdaDatasets.NurseryDataset
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-- import LambdaDatasets.GermanDataset
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-- import LambdaDatasets.GermanDataset
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import Debug.Trace as DB
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import Debug.Trace as DB
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import qualified Data.Map.Strict as Map
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import qualified Data.Map.Strict as Map
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