public static void ExportDatasetsAsCSV(List <DataSet> datasets)
{
var dialog = new SaveFileDialog
{
Title = "Save Dataset File",
Filter = "Text File|*.txt;"
};
if (dialog.ShowDialog() != true)
{
return;
}
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(Application.Current.MainWindow, "Converting Dataset...", () => {
using (var file = File.CreateText(dialog.FileName))
{
//var serializer = new JsonSerializer { Formatting = Formatting.Indented };
//serializer.Serialize(file, datasets);
foreach (DataSet ds in datasets)
{
string s = "";
foreach (double d in ds.Targets)
{
s += d.ToString() + ",";
}
foreach (double d in ds.Values)
{
s += d.ToString() + ",";
}
file.WriteLine(s.Substring(0, s.Length - 1));
}
}
});
}
void testOnce()
{
if (this.TestDataSets == null)
{
this.btnTest.IsEnabled = false;
return;
}
int right = 0;
int sum = 0;
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(this, "Testing Network", () =>
{
for (int i = 0; i < TestDataSets.Count(); i++)
{
ProgressDialog.ProgressDialog.Current.Report("Testing Number {0}/{1}... \n ", i, TestDataSets.Count());
double[] a = this.Network.Compute(TestDataSets[i].Values);
if (findMaxIndex(a) == findMaxIndex(TestDataSets[i].Targets))
{
right++;
}
sum++;
}
}, ProgressDialogSettings.WithSubLabel);
if (result.OperationFailed)
{
MessageBox.Show("Test failed.");
}
else
{
MessageBox.Show("Total test sample Number:" + sum.ToString() + "\n" + "Right number:" + right.ToString() + "\n"
+ "Wrong number:" + (sum - right).ToString() + "\n"
+ "Accuracy:" + (right / (double)sum).ToString());
}
this.Dispatcher.BeginInvoke(new Action(() =>
{
SeriesCollectionAccuracy[0].Values.Add(right / (double)sum);
if (SeriesCollectionAccuracy[0].Values.Count > 50)
{
SeriesCollectionAccuracy[0].Values.RemoveAt(0);
}
}));
}
private void BtnSaveAs_Click(object sender, RoutedEventArgs e)
{
var dialog = new SaveFileDialog
{
Title = "Save Dataset File",
Filter = "Text File|*.txt;"
};
if (dialog.ShowDialog() != true)
{
return;
}
try
{
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(this, "Converting Dataset...", () => {
using (var file = File.CreateText(dialog.FileName))
{
//var serializer = new JsonSerializer { Formatting = Formatting.Indented };
//serializer.Serialize(file, datasets);
foreach (DataSet ds in Datasets)
{
string s = "";
foreach (double d in ds.Targets)
{
s += d.ToString() + ",";
}
foreach (double d in ds.Values)
{
s += d.ToString() + ",";
}
file.WriteLine(s.Substring(0, s.Length - 1));
}
}
});
}catch (Exception)
{
}
}
public static List <DataSet> ImportDatasetsFromCSV(int inputSize, int outputSize)
{
try
{
var dialog = new OpenFileDialog
{
Multiselect = false,
Title = "Open Dataset File",
Filter = "Text File|*.txt;"
};
if (dialog.ShowDialog() != true)
{
return(null);
}
List <DataSet> dataSets = new List <DataSet>();
using (StreamReader sr = new StreamReader(dialog.FileName, Encoding.Default))
{
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(Application.Current.MainWindow, "Loading Train Data...", () => {
while (sr.Peek() > 0)
{
string temp = sr.ReadLine();
double[] all = ToDoubleArray(temp, ',');
if (all.Count() != (inputSize + outputSize))
{
MessageBox.Show("The lenth of Network is not fit the length of Dataset");
break;
}
double[] tar = new double[outputSize];
double[] val = new double[inputSize];
for (int i = 0; i < outputSize; i++)
{
tar[i] = all[i];
}
for (int j = 0; j < inputSize; j++)
{
val[j] = all[j + outputSize];
}
DataSet ds = new DataSet(val, tar);
dataSets.Add(ds);
}
});
if (result.OperationFailed)
{
MessageBox.Show("Loading Train Data failed.");
}
else
{
MessageBox.Show("Loading Train Data successfully.");
}
return(dataSets);
}
}
catch (Exception)
{
return(null);
}
}
void trainEpoch(Object EpochNumber, bool isTest)
{
Stopwatch sw = new Stopwatch();
sw.Start();
this.Dispatcher.BeginInvoke(new Action(() =>
{
TrainEpocNum.Content = "0";
TrainElapseTime.Content = "0";
}));
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(this, "Trainning Network", () =>
{
for (int i = 0; i < (int)EpochNumber; i++)
{
ProgressDialog.ProgressDialog.Current.Report("Trained Epoch {0}/{1}... \n ", i, (int)EpochNumber);
int j = 0;
foreach (var dataSet in TrainDataSets)
{
if (this.stopTrain == true)
{
break;
}
this.Network.TrainOneStep(dataSet);
j++;
this.Dispatcher.BeginInvoke(new Action(() =>
{
TrainNum.Content = j.ToString();
TrainEpocNum.Content = i.ToString();
TrainElapseTime.Content = (sw.ElapsedMilliseconds / 60.0).ToString("0.00") + "s";
TotalError.Content = string.Format("{0:N3}", this.Network.TotalError);
}));
}
if (isTest)
{
if (this.TestDataSets == null)
{
this.btnTest.IsEnabled = false;
return;
}
int right = 0;
int sum = 0;
for (int k = 0; k < TestDataSets.Count(); k++)
{
ProgressDialog.ProgressDialog.Current.Report("Testing {0}/{1}... \n ", k, (int)TestDataSets.Count());
double[] a = this.Network.Compute(TestDataSets[k].Values);
if (findMaxIndex(a) == findMaxIndex(TestDataSets[k].Targets))
{
right++;
}
sum++;
}
this.Dispatcher.BeginInvoke(new Action(() =>
{
SeriesCollectionAccuracy[0].Values.Add(right / (double)sum);
if (SeriesCollectionAccuracy[0].Values.Count > 50)
{
SeriesCollectionAccuracy[0].Values.RemoveAt(0);
}
}));
}
this.Dispatcher.BeginInvoke(new Action(() =>
{
EpochNum.Add(i);
SeriesCollectionEpoch[0].Values.Add(this.Network.TotalError);
if (SeriesCollectionEpoch[0].Values.Count > 50)
{
SeriesCollectionEpoch[0].Values.RemoveAt(0);
}
TimeElapse.Add(DateTime.Now.ToString("mm-ss"));
SeriesCollectionCPUUsage[0].Values.Add(theCPUCounter.NextValue() / Environment.ProcessorCount);
if (SeriesCollectionCPUUsage[0].Values.Count > 50)
{
SeriesCollectionCPUUsage[0].Values.RemoveAt(0);
}
}));
}
}, ProgressDialogSettings.WithSubLabel);
if (result.OperationFailed)
{
MessageBox.Show("Train failed.");
}
else
{
MessageBox.Show("Train successfully.");
}
sw.Stop();
this.Dispatcher.BeginInvoke(new Action(() =>
{
resetAllButtonState();
this.btnTrainOneStep.IsEnabled = true;
this.btnTrain.IsEnabled = true;
this.btnLoadTestData.IsEnabled = true;
this.btnSave.IsEnabled = true;
if (this.TestDataSets != null)
{
this.btnTest.IsEnabled = true;
}
}));
}
private void BtnConvert_Click(object sender, RoutedEventArgs e)
{
try
{
int outputSize = int.Parse(this.txtOutputSize.Text.ToString().Trim());
StreamReader sr = new StreamReader(originFile, Encoding.Default);
double threshold = double.Parse(this.txtThreshold.Text.ToString().Trim());
double min = double.Parse(this.txtXmin.Text.ToString().Trim());
double max = double.Parse(this.txtXMax.Text.ToString().Trim());
double v = max - min;
int k = 0;
if (this.radioBtnThreshold.IsChecked == true)
{
k = 0;
}
else if (this.radioButtonMinMax.IsChecked == true)
{
k = 1;
}
this.Datasets.Clear();
ProgressDialogResult result = ProgressDialog.ProgressDialog.Execute(this, "Converting Dataset...", () => {
while (sr.Peek() > 0)
{
string temp = sr.ReadLine();
List <double> s = ToDoubleArray(temp, ',').ToList();
double[] tar = new double[outputSize]; //初始化
tar[(int)s[0]] = 1; //把第一个数对应的数组中的值改成1，其它为0
s.RemoveAt(0);
for (int i = 0; i < s.Count; i++)
{
if (k == 0)
{
if (s[i] > threshold)
{
s[i] = 1.0;
}
else
{
s[i] = 0.0;
}
}
else if (k == 1)
{
s[i] = ((s[i] - min) / v) * 0.99 + 0.01;
}
}
DataSet ds = new DataSet(s.ToArray(), tar);
Datasets.Add(ds);
}
});
if (result.OperationFailed)
{
MessageBox.Show("Converting Dataset failed.");
}
else
{
MessageBox.Show("Converting Dataset successfully.");
}
sr.Close();
txtDatasetSize.Content = Datasets.Count().ToString();
}
catch (Exception)
{
}
}
