settings.JSON

{
  "_____________________________First Section": "Setting used for lgds",
  "IDSATraces": "./data/tra.json",
  "translateExplanation": "in case of JSON file, it means if I load all the timestep or 1 every 15 nad following the file given",
  "translate": 0,
  "GeoLifeTrace": "./data/traGeolife.json",
  "GraphHopperPath": "/Users/alessandrozonta/Documents/lgds/",
  "GoogleAPIKey": "",
  "GraphHopperName" : "china-latest.osm.pbf",
  "Radio": 40,
  "MaxLength": 999999.0,
  "SourceTrajectories": "/Users/alessandrozonta/Downloads/ewap_dataset/seq_hotel/obsmat.txt",
  "Smoother": 1,
  "_____________________________Second Section": "Setting used for gms",
  "fileName": ["Rijswijk2Small.graphml"],
  "fileLocation": "/Users/alessandrozonta/PycharmProjects/roadNetwork/data",
  "_____________________________Third Section": "Setting used for tgcfs",
  "trajectoriesTypeExplanation": "0 idsa, 1 geolife, 2 both, 3 idsaJSON, 4 geolifeJSON, 5 ETH",
  "trajectoriesType": 5,
  "HowManySplittingExplanation": "How many times split the trajectory",
  "HowManySplitting": 0,
  "HowManyTrajectoriesExplanation": "Number is the maximum number of trajectories that are going to be tested. 99999 means use all of them",
  "HowManyTrajectories": 99999,
  "TimestepsOfTheRealTrajectoryExplanation": "0 means all the time steps are used, number bigger than 0 select the last n time steps",
  "TimestepsOfTheRealTrajectory": 10,
  "MaxSpeed": 8.0,
  "MoreTimeAheadExplanation": "Instead next time step, try only one point but after n time steps. 1 is normal, more is more",
  "MoreTimeAhead": 4,
  "_____________________________Fourth Section": "Setting for the EA algorithm",
  "AgentPopulationSize": 5,
  "AgentOffspringSize": 10,
  "AgentAlphaIntermediateRecombination": 0.5,
  "AgentTimeStepsExplanation": "How many time-steps the agent is going to generate",
  "AgentTimeSteps": 1,
  "IncrementalLearningPoints": false,
  "HowManyGenBeforeNewPoint": 4,
  "ClassifierPopulationSize": 5,
  "ClassifierOffspringSize": 10,
  "ClassifierAlphaIntermediateRecombination": 0.5,
  "ClassifierTimeStepsExplanation": "Not implemented now",
  "ClassifierTimeSteps": 1,
  "MaxGenerations": 5,
  "Seed": 1,
  "TournamentSizeAgents": 2,
  "TournamentSizeClassifiers": 2,
  "MutationExplanation": "0 is Uncorrelated mutation, 1 is RandomResetting, 2 is NonUniformMutation",
  "Mutation": 0,
  "UncorrelatedMutationStepExplanation": "Could be 1 or N",
  "UncorrelatedMutationStep": "1",
  "StepSizeAgents": 0.5,
  "StepSizeClassifiers": 0.5,
  "Recombination": false,
  "EvolveAgentMoreThanClassifierTimesteps": 0,
  "CheckAlsoPastExplanation": "true -> it checks also the training trajectory to decide if the new part is okay or not. False -> it checks only the new part",
  "CheckAlsoPast": true,
  "AutomaticCalibration": false,
  "UsingReducedVirulenceMethodOnAgents": false,
  "UsingReducedVirulenceMethodOnClassifiers": false,
  "VirulenceAgents": 0.75,
  "VirulenceClassifiers": 0.50,
  "AutomaticEvolutionDisengagementExplanation": "Enable automatic evolution of the counter system against disengagement. 0 means non enable, 1 means change the step size, 2 means change the virulence automatically, 3 both",
  "AutomaticEvolutionDisengagement": 0,
  "MeasureUsedForAutomaticDisengagementExplanation": "0 means using the metric of disengagement, 1 means using std and mean",
  "MeasureUsedForAutomaticDisengagement": 0,
  "PopulationWithAutomaticDisengagementExplanation": "0 means both population, 1 means agents, 2 means classifiers",
  "PopulationWithAutomaticDisengagement": 0,
  "DifferentSelectionForClassifiersExplanation" : "0 means mu plus lambda, 1 means mu comma lambda, 2 means keep the best and throw away the others. combine them for agent and classifier.",
  "DifferentSelectionForClassifiers" : 0.0,
  "KeepBestNElement" : 1,
  "ConversionOutputWithGraph": false,
  "HallOfFame": false,
  "HallOfFameMemory": 10,
  "HallOfFameSample": 5,
  "_____________________________Fifth section": "Settings for the models",
  "HiddenLayersAgent": 1,
  "HiddenNeuronsAgent": 15,
  "HiddenNeuronsClassifier": 5,
  "TrajectoriesTrained": 25,
  "HowManyAmIChangingBetweenGenerationExplanation" : "Number is expressed in %",
  "HowManyAmIChangingBetweenGeneration": 0,
  "Train": false,
  "PictureSize": 64,
  "FitnessFunctionExplanation": "0 is the one from the paper, 1 is for the modified one with precision, 2 is for the Selmar one",
  "FitnessFunction": 2,
  "TimeAsInputExplanation": "true: I am using the Time between time steps as a input for the generator (for geolife), false: not using it",
  "TimeAsInput": true,
  "_____________________________Sixth section": "Settings for where to save the performances",
  "Name": "lines",
  "Experiment": "3",
  "Path": "/Users/alessandrozonta/Desktop",
  "DumpPopulationExplanation": "Save the entire population on file.",
  "DumpPopulation" : false,
  "LoadDumpedPopExplanation": "Load the population from file. Not Implemented now",
  "LoadDumpedPop": false,
  "DumpTrajectoryPointAndMeaningExplanation": "Dump trajectory and what generated. Way better if TrajectoriesTrained is very big",
  "DumpTrajectoryPointAndMeaning": true,
  "_____________________________Seventh section": "Settings for databases",
  "usingDB": false,
  "dbNameCoordNode": "dbcn",
  "dbNameDistance": " dbd",
  "_____________________________Eight section": "what model use in the system -> agent",
  "LSTM": true,
  "Convolution": false,
  "Clax": false,
  "_____________________________Ninth section": "what model use in the system -> classifier",
  "LSTMClassifier": false,
  "ENN": false,
  "NN": true,
  "_____________________________Debug Mode": "Enable Debug mode",
  "LevelDebugExplanation": "0=SEVERE, 1=WARNING, 2=INFO, 3=CONFIG, 4=FINE, 5=FINER, 6=FINEST, 7=OFF",
  "LevelDebug": 6,
  "Score": false
}