# Form feature vectors for training data
trainingInputData, trainingOutputData = util.formFeatureVectors(trainingData)
actualOutputData = minMax.inverse_transform(testingData)[:, 0]
# Initial seed
initialSeedForValidation = trainingData[-1]
networkSize = 500
populationSize = 10
noOfBest = int(populationSize / 2)
noOfGenerations = 10
predictedOutputData, bestPopulation = utilityGA.tuneTrainPredictConnectivityGA(
trainingInputData=trainingInputData,
trainingOutputData=trainingOutputData,
validationOutputData=validationData,
initialInputSeedForValidation=initialSeedForValidation,
horizon=nTesting,
noOfBest=noOfBest,
resTopology=utilityGA.Topology.ErdosRenyi,
size=networkSize,
popSize=populationSize,
maxGeneration=noOfGenerations,
)
predictedOutputData = minMax.inverse_transform(predictedOutputData)
# Plotting of the prediction output and error
outputFolderName = "Outputs/Erdos_Renyi_Outputs" + datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
os.mkdir(outputFolderName)
outplot = outputPlot.OutputPlot(
outputFolderName + "/Prediction.html",
"Mackey-Glass Time Series - GA Optimization)",
"Prediction on Testing data",
# Form feature vectors for training data
trainingInputData, trainingOutputData = util.formFeatureVectors(trainingData)
actualOutputData = minMax.inverse_transform(testingData)[:, 0]
# Initial seed
initialSeedForValidation = trainingData[-1]
networkSize = 500
populationSize = 200
noOfBest = int(populationSize / 2)
noOfGenerations = 100
predictedOutputData, bestPopulation = utilityGA.tuneTrainPredictConnectivityGA(
trainingInputData=trainingInputData,
trainingOutputData=trainingOutputData,
validationOutputData=validationData,
initialInputSeedForValidation=initialSeedForValidation,
horizon=nTesting,
noOfBest=noOfBest,
resTopology=utilityGA.Topology.Random,
size=networkSize,
popSize=populationSize,
maxGeneration=noOfGenerations)
predictedOutputData = minMax.inverse_transform(predictedOutputData)
#Plotting of the prediction output and error
outputFolderName = "Outputs/Random_Graph_Outputs" + datetime.now().strftime(
"%Y_%m_%d_%H_%M_%S")
os.mkdir(outputFolderName)
outplot = outputPlot.OutputPlot(outputFolderName + "/Prediction.html",
"Mackey-Glass Time Series - GA Optimization)",
"Prediction on Testing data", "Time", "Output")
