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;
}