private static void RunStocksEntropy(Random random) { //int numOfNodes = 20; var window = 50; var minVolumeBucket = 100.0; var maxVolumeBucket = 4.0 * 10E8; var approximation = new MultiplicativeApproximation(0.005); DateTime startingDateTime = new DateTime(2006, 1, 3); int minAmountAtDay = 1000; var iterations = 1000; //var wantedVectorLength = 100; //foreach (var wantedVectorLength in ArrayUtils.Init(50, 100, 200, 400, 800, 1300, 1600, 2000, 2400)) for (var wantedVectorLength = 4000; wantedVectorLength <= 4000; wantedVectorLength += 100) { for (var numOfNodes = 30; numOfNodes <= 30; numOfNodes += 30) //foreach (var numOfNodes in ArrayUtils.Init(30, 40)) { var mulFactor = Math.Pow(maxVolumeBucket / minVolumeBucket, 1.0 / wantedVectorLength); var closestValueQuery = ClosestValueQuery.InitExponential((long)minVolumeBucket, (long)maxVolumeBucket, mulFactor); var vectorLength = closestValueQuery.Data.Length; foreach (var(entropy, cbName) in ArrayUtils.Init((new EntropyFunction(vectorLength).MonitoredFunction, "RegularCB"))) // (new SpecialCBEntropy(vectorLength).MonitoredFunction, "SmartCB"))) { EntropyRunner.RunStocks(random, entropy, cbName, iterations, closestValueQuery, numOfNodes, window, startingDateTime, minAmountAtDay, approximation, stocksDirPath, resultDir); } } } }
private static void RunDatabaseAccessesEntropy(Random random) { int numOfNodes = 10; var window = 14; var vectorLength = 11654; var distrubteUsers = UsersDistributing.RoundRobin(); var approximation = new MultiplicativeApproximation(0.02); EntropyRunner.RunDatabaseAccesses(random, numOfNodes, window, approximation, vectorLength, distrubteUsers, databaseAccessesPath, resultDir); }
private static void RunRandomEntropy(Random random) { // int numOfNodes = 10; int iterations = 10000; bool oneChanges = false; var vectorLength = 1000; var collapseDimension = 500; //foreach(var vectorLength in ArrayUtils.Init(200, 500, 1000, 1700, 2400, 3500, 4200, 5000, 5800, 7000)) // for (var vectorLength = 50; vectorLength <= 2000; vectorLength += 50) for (var numOfNodes = 10; numOfNodes <= 10; numOfNodes += 5) { var approximation = new MultiplicativeApproximation(0.05 / Math.Pow(numOfNodes, 0.5)); EntropyRunner.RunRandomly(random, numOfNodes, approximation, vectorLength, collapseDimension, iterations, oneChanges, resultDir); } }