public static void createOutputDirectories(List <recordConfig> configArr, userConfig uConfig, string bucketName, string resultsPath) { string MainFolderName = Form1.MainFolderName; foreach (recordConfig t in configArr) { if (!Form1.UseS3 && !Directory.Exists(MainFolderName + "\\" + t.getShortName())) { Directory.CreateDirectory(MainFolderName + "\\" + t.getShortName()); StreamWriter sw = new StreamWriter(MainFolderName + "\\" + t.getShortName() + "\\record_properties.txt", false); sw.WriteLine(t.getFullName()); sw.Close(); uConfig.printConfig(MainFolderName + "\\config.txt"); } // if (!Form1.UseS3) continue; /* S3DirectoryInfo s3results_path_with_folders = * new S3DirectoryInfo(client, bucketName, resultsPath + "\\" + t.getShortName()); * if (!s3results_path_with_folders.Exists) * { * s3results_path_with_folders.Create(); * S3FileInfo outFile = s3results_path_with_folders.GetFile("record_properties.txt"); * StreamWriter sw = new StreamWriter(outFile.OpenWrite()); * sw.WriteLine(t.getFullName()); * sw.Close(); * * S3FileInfo configFile = s3results_path_with_folders.GetFile("config.txt"); * uConfig.printConfig("", configFile); * }*/ } }
private void btnScript_Click(object sender, EventArgs e, StreamWriter statusWriter) { set2Config(); Refresh(); u_config.printConfig(@"C:\Wavelets decomposition\config.txt", null); AmazonS3Client client = Helpers.configAmazonS3ClientS3Client(); UseS3 = UseS3CB.Checked; rumPrallel = rumPrallelCB.Checked; runBoosting = runBoostingCB.Checked; runProoning = runProoningCB.Checked; runBoostingProoning = runBoostingProoningCB.Checked; runRFProoning = runRFProoningCB.Checked; runRf = runRfCB.Checked; runBoostingLearningRate = runBoostingLearningRateCB.Checked; bucketName = bucketTB.Text; string results_path = @ResultsTB.Text; string db_path = @DBTB.Text + "\\";//@"C:\Users\Administrator\Dropbox\ADA\ada_valid\"; //"D:\\Phd\\Shai\\code\\tests\\helix tests\\noise_5\\noise_5\\"; // "C:\\reasearch\\tests\\lena\\"; //get dir MainFolderName = results_path; Helpers.createMainDirectoryOrResultPath(results_path, bucketName, client); //READ DATA DB db = new DB(); db.training_dt = db.getDataTable(db_path + "trainingData.txt"); db.testing_dt = db.getDataTable(db_path + "testingData.txt"); db.validation_dt = db.getDataTable(db_path + "ValidData.txt"); db.training_label = db.getDataTable(db_path + "trainingLabel.txt"); db.testing_label = db.getDataTable(db_path + "testingLabel.txt"); db.validation_label = db.getDataTable(db_path + "ValidLabel.txt"); upper_label = db.training_label.Max(); lower_label = db.training_label.Min(); double trainingPercent = double.Parse(trainingPercentTB.Text); // 0.02; long rowToRemoveFrom = Convert.ToInt64(db.training_dt.Count() * trainingPercent); db.training_dt = db.training_dt.Where((el, i) => i < rowToRemoveFrom).ToArray(); db.training_label = db.training_label.Where((el, i) => i < rowToRemoveFrom).ToArray(); db.testing_dt = db.testing_dt.Where((el, i) => i < rowToRemoveFrom).ToArray(); db.testing_label = db.testing_label.Where((el, i) => i < rowToRemoveFrom).ToArray(); db.validation_dt = db.training_dt.Where((el, i) => i < rowToRemoveFrom).ToArray(); db.validation_label = db.validation_label.Where((el, i) => i < rowToRemoveFrom).ToArray(); //REDUCE DIM, GLOBAL PCA if (usePCA.Checked) { DimReduction dimreduction = new DimReduction(db.training_dt); db.PCAtraining_dt = dimreduction.getGlobalPca(db.training_dt); db.PCAtesting_dt = dimreduction.getGlobalPca(db.testing_dt); db.PCAvalidation_dt = dimreduction.getGlobalPca(db.validation_dt); } else { //de-activate pca for dbg db.PCAtraining_dt = db.training_dt; db.PCAtesting_dt = db.testing_dt; db.PCAvalidation_dt = db.validation_dt; } db.PCAtraining_GridIndex_dt = new long[db.PCAtraining_dt.Count()][]; for (int i = 0; i < db.PCAtraining_dt.Count(); i++) { db.PCAtraining_GridIndex_dt[i] = new long[db.PCAtraining_dt[i].Count()]; } //BOUNDING BOX AND MAIN GRID boundingBox = db.getboundingBox(db.PCAtraining_dt); MainGrid = db.getMainGrid(db.PCAtraining_dt, boundingBox, ref db.PCAtraining_GridIndex_dt); //READ CONFIG methodConfig mc = new methodConfig(true); int Nloops = int.Parse(NloopsTB.Text) - 1; int Kfolds = 0; if (int.TryParse(croosValidTB.Text, out Kfolds)) { Nloops = Kfolds - 1; } for (int k = 0; k < Nloops; k++) { mc.boostlamda_0.Add(3.8); // - create variant in number of pixels } //mc.boostlamda_0.Add(1500);// - create variant in number of pixels //mc.boostlamda_0.Add(2500);// - create variant in number of pixels //mc.boostlamda_0.Add(3000);// - create variant in number of pixels mc.generateRecordConfigArr(); for (int k = 0; k < mc.recArr.Count(); k++) { mc.recArr[k].dim = NfeaturesTB.Text == @"all" ? db.PCAtraining_dt[0].Count() : int.Parse(evaluateString(NfeaturesTB.Text, k)); mc.recArr[k].approxThresh = double.Parse(evaluateString(approxThreshTB.Text, k)); // 0.1; mc.recArr[k].partitionErrType = int.Parse(evaluateString(partitionTypeTB.Text, k)); //2; mc.recArr[k].minWaveSize = int.Parse(evaluateString(minNodeSizeTB.Text, k)); //1;//CHANGE AFTER DBG mc.recArr[k].hopping_size = int.Parse(evaluateString(waveletsSkipEstimationTB.Text, k)); //25;// 10 + 5 * (k + 1);// +5 * (k % 10);// 1;//25; mc.recArr[k].test_error_size = double.Parse(evaluateString(waveletsPercentEstimationTB.Text, k)); // +0.05 * (k % 10);// 1;// 0.1;//percent of waves to check mc.recArr[k].NskipsinKfunc = double.Parse(evaluateString(boostingKfuncPercentTB.Text, k)); // 0.0025; mc.recArr[k].rfBaggingPercent = double.Parse(evaluateString(bagginPercentTB.Text, k)); // 0.6; mc.recArr[k].rfNum = int.Parse(evaluateString(NrfTB.Text, k)); // k + 1;//10 + k*10;// 100 / (k + 46) * 2;// int.Parse(Math.Pow(10, k + 1).ToString()); mc.recArr[k].boostNum = int.Parse(evaluateString(NboostTB.Text, k)); // 10; mc.recArr[k].boostProoning_0 = int.Parse(evaluateString(NfirstPruninginBoostingTB.Text, k)); //13 mc.recArr[k].boostlamda_0 = double.Parse(evaluateString(boostingLamda0TB.Text, k)); // 0.01 - (k + 1) * 0.001; //0.05;// 0.0801 + k * 0.001;// Math.Pow(0.1, k);// 0.22 + k*0.005; mc.recArr[k].NwaveletsBoosting = int.Parse(evaluateString(NfirstwaveletsBoostingTB.Text, k)); // 4;// k + 1; //mc.recArr[k].learningRate = 0;// 0.01; mc.recArr[k].boostNumLearningRate = int.Parse(evaluateString(NboostingLearningRateTB.Text, k)); // 55;// 18; mc.recArr[k].percent_training_db = trainingPercent; mc.recArr[k].BoundLevel = int.Parse(evaluateString(boundLevelTB.Text, k)); //1024; mc.recArr[k].NDimsinRF = NfeaturesrfTB.Text == @"all" ? db.PCAtraining_dt[0].Count() : int.Parse(evaluateString(NfeaturesrfTB.Text, k)); mc.recArr[k].split_type = int.Parse(evaluateString(splitTypeTB.Text, k)); //0 mc.recArr[k].NormLPType = int.Parse(evaluateString(errTypeEstimationTB.Text, k)); mc.recArr[k].RFpruningTestRange[1] = int.Parse(evaluateString(RFpruningEstimationRange1TB.Text, k)); // 12;// k + 9; mc.recArr[k].boundDepthTree = int.Parse(evaluateString(boundDepthTB.Text, k)); //1024; mc.recArr[k].CrossValidFold = k; // 2m0rr0w2 save labels dim in confif mc.recArr[k].labelDim = db.training_label[0].Count(); //mc.recArr[k].boostNum = t ;// tmp to delete !!!!!!! //mc.recArr[k].RFwaveletsTestRange[0] = 25; //mc.recArr[k].RFwaveletsTestRange[1] = 50; } Helpers.createOutputDirectories(mc.recArr, client, u_config, bucketName, results_path); //SET ID ARRAY LIST List <int> trainingID = Enumerable.Range(0, db.PCAtraining_dt.Count()).ToList(); List <int> testingID = Enumerable.Range(0, db.PCAtesting_dt.Count()).ToList(); //cross validation List <List <int> > trainingFoldId = new List <List <int> >(); List <List <int> > testingFoldId = new List <List <int> >(); Random ran = new Random(2); List <int> training_rand = trainingID.OrderBy(x => ran.Next()).ToList().GetRange(0, trainingID.Count); //THE LARGEST GROUP IS TRAINING if (int.TryParse(croosValidTB.Text, out Kfolds)) { createCrossValid(Kfolds, training_rand, trainingFoldId, testingFoldId); } //bounding intervals int[][] BB = new int[2][]; BB[0] = new int[boundingBox[0].Count()]; BB[1] = new int[boundingBox[0].Count()]; for (int i = 0; i < boundingBox[0].Count(); i++) { BB[1][i] = MainGrid[i].Count() - 1; //set last index in each dim } for (int i = 0; i < mc.recArr.Count; i++) { Analizer Analizer = new Analizer(MainFolderName + "\\" + mc.recArr[i].getShortName(), MainGrid, db, mc.recArr[i]); if (!croosValidCB.Checked) { Analizer.analize(trainingID, testingID, BB); } else { Analizer.analize(trainingFoldId[i], testingFoldId[i], BB); //cross validation } statusWriter.WriteLine("fold " + i + " ready!!!!"); } //btnScript.BackColor = Color.Green; }