fix Iris

lambda/src/LambdaDatasets/IrisDataset.hs

@@ -68,7 +68,7 @@ lEE :: LamdaExecutionEnv
 lEE =
   LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["LambdaDatasets.IrisDataset"],
+      imports = ["LambdaDatasets.IrisDefinition"],
       training = True,
       trainingData =
         ( map fst (takeFraktion 0.8 irisTrainingData),
@@ -89,7 +89,7 @@ shuffledLEE = do
   itD <- smpl $ shuffle irisTrainingData
   return  LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["LambdaDatasets.IrisDataset"],
+      imports = ["LambdaDatasets.IrisDefinition"],
       training = True,
       trainingData =
         ( map fst (takeFraktion 0.8 itD),

lambda/src/Main.hs

@@ -35,7 +35,7 @@ options =
       ( long "population-size"
           <> short 'p'
           <> metavar "N"
-          <> value 400
+          <> value 100
           <> help "Population size"
       )
 
@@ -59,7 +59,7 @@ main =
       selectionType = Tournament 3,
       termination = (steps (iterations opts)),
       poulationSize = (populationSize opts),
-      stepSize = 120,
+      stepSize = 90,
       elitismRatio = 5/100
     }
     pop' <- runEffect (for (run cfg) logCsv)