private void button3_Click(object sender, EventArgs e)
{
MessageBox.Show("Test file");
OpenFileDialog of = new OpenFileDialog();
of.ShowDialog();
string testFilePath = of.FileName;
MessageBox.Show("Train file");
of.ShowDialog();
string trainFilePath = of.FileName;
MessageBox.Show("Sample submission");
of.ShowDialog();
string sample = of.FileName;
string[] keywords = keywordsTbx.Text.Split(';');
string[] maxOccurences = maxoccurencesTbx.Text.Split(';');
string[] minOccurences = minOccurencesTbx.Text.Split(';');
string[] exps1 = expo1Tbx.Text.Split(';');
string[] exps2 = expo2Tbx.Text.Split(';');
StreamingLearning sl = new StreamingLearning();
foreach (string keyword in keywords)
foreach (string maxOc in maxOccurences)
foreach (string minOc in minOccurences)
foreach (string exp1 in exps1)
foreach (string exp2 in exps2)
{
string learning = keyword + "_" + minOc + "_" + maxOc + "_" + exp1 + "_" + exp2;
LearningParameters learningParams = new LearningParameters(learning);
sl.TrainPredictAndWrite(trainFilePath, testFilePath, testFilePath + "pred_1.1_" + learning, sample, learningParams);
}
}
private void button4_Click(object sender, EventArgs e)
{
MessageBox.Show("Train file");
OpenFileDialog of = new OpenFileDialog();
of.ShowDialog();
if (!of.CheckFileExists) return;
string trainFilePath = of.FileNames[0];
StreamingLearning.DistanceFunction distance = Distances.Haversine;
string[] keywords = keywordsTbx.Text.Split(';'),
maxOccurences = maxoccurencesTbx.Text.Split(';'),
minOccurences = minOccurencesTbx.Text.Split(';'),
exps1 = expo1Tbx.Text.Split(';'),
exps2 = expo2Tbx.Text.Split(';');
string errors = "";
foreach (string keyword in keywords)
{
int nFolds = 5;
StreamingLearning sl = new StreamingLearning();
LearningParameters learningParameters = new LearningParameters(keyword + "_0_0_0_0");
sl.CrossLearning(trainFilePath, nFolds, learningParameters);
foreach (string maxOc in maxOccurences)
foreach (string minOc in minOccurences)
foreach (string exp1 in exps1)
foreach (string exp2 in exps2)
{
string learning = keyword + "_" + minOc + "_" + maxOc + "_" + exp1 + "_" + exp2;
learningParameters = new LearningParameters(learning);
double[] err = sl.CrossValidationScore(trainFilePath, learningParameters, nFolds, distance);
errors += learning + ";" + String.Join(";", err) + Environment.NewLine;
}
}
string fileName = Path.GetFileNameWithoutExtension(trainFilePath);
File.WriteAllText(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments) + "\\" + fileName + "_CrossValidation_1.1.csv", errors);
MessageBox.Show(errors);
}