private void addMlSettingsBoxContent()
{
MachineLearning.Learning.ML_Settings settingsObject = new MachineLearning.Learning.ML_Settings();
FieldInfo[] fields = settingsObject.GetType().GetFields();
for (int i = 0; i < fields.Length; i++)
{
Label l = new Label();
mlSettingsPanel.Controls.Add(l);
l.AutoSize = true;
l.Location = new System.Drawing.Point(5, 5 + ML_FIELDS_OFFSET * i);
l.Name = fields[i].Name + "_label";
l.Size = new System.Drawing.Size(35, 15);
l.TabIndex = i * 2;
l.Text = fields[i].Name;
TextBox t = new TextBox();
mlSettingsPanel.Controls.Add(t);
t.Location = new System.Drawing.Point(150, 5 + ML_FIELDS_OFFSET * i);
t.Name = fields[i].Name + "_textBox";
t.Size = new System.Drawing.Size(150, 20);
t.TabIndex = i * 2 + 1;
t.Text = fields[i].GetValue(settingsObject).ToString();
}
}
private void addMlSettingsBoxContent()
{
MachineLearning.Learning.ML_Settings settingsObject = new MachineLearning.Learning.ML_Settings();
FieldInfo[] fields = settingsObject.GetType().GetFields();
for (int i = 0; i < fields.Length; i++)
{
Label l = new Label();
mlSettingsPanel.Controls.Add(l);
l.AutoSize = true;
l.Location = new System.Drawing.Point(5, 5 + ML_FIELDS_OFFSET * i);
l.Name = fields[i].Name + "_label";
l.Size = new System.Drawing.Size(35, 15);
l.TabIndex = i * 2;
l.Text = fields[i].Name;
TextBox t = new TextBox();
mlSettingsPanel.Controls.Add(t);
t.Location = new System.Drawing.Point(150, 5 + ML_FIELDS_OFFSET * i);
t.Name = fields[i].Name + "_textBox";
t.Size = new System.Drawing.Size(150, 20);
t.TabIndex = i * 2 + 1;
t.Text = fields[i].GetValue(settingsObject).ToString();
}
}
private static void defineParameterSpace(string[] parameters, Dictionary <string, List <bool> > boolSettings,
Dictionary <string, List <int> > intSettings, Dictionary <string, List <double> > doubleSettings,
Dictionary <string, List <LossFunction> > lossFuncInterval, Dictionary <string, List <ScoreMeasure> > scoreMeasureInterval,
Dictionary <string, List <TimeSpan> > learnTimeLimitInterval)
{
foreach (string parameter in parameters)
{
//dummy
int y;
double x;
TimeSpan z;
//setting name and values that should be within the parameter space
Tuple <string, string[]> nameAndValues = extractSettings(parameter);
ML_Settings referenceSetting = new ML_Settings();
System.Reflection.FieldInfo fi = referenceSetting.GetType().GetField(nameAndValues.Item1);
if (fi == null)
{
GlobalState.logInfo.logLine("Invalid variable name: " + nameAndValues.Item1 +
". This setting will be ignored.");
}
else if (isBool(nameAndValues.Item2[0]) && fi.FieldType.FullName.Equals("System.Boolean"))
{
List <bool> toAdd = new List <bool>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(toBool(value));
}
boolSettings.Add(nameAndValues.Item1, toAdd);
}
else if (int.TryParse(nameAndValues.Item2[0], out y) &&
(fi.FieldType.FullName.Equals("System.Int32") || fi.FieldType.FullName.Equals("System.Int64")))
{
List <int> toAdd = new List <int>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(int.Parse(value));
}
intSettings.Add(nameAndValues.Item1, toAdd);
}
else if (Double.TryParse(nameAndValues.Item2[0], out x) && fi.FieldType.FullName.Equals("System.Double"))
{
List <double> toAdd = new List <double>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(Double.Parse(value, CultureInfo.InvariantCulture));
}
doubleSettings.Add(nameAndValues.Item1, toAdd);
}
else if (isLossFunction(nameAndValues.Item2[0]) &&
fi.FieldType.FullName.Equals("MachineLearning.Learning.ML_Settings+LossFunction"))
{
List <LossFunction> toAdd = new List <LossFunction>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(toLossFunction(value));
}
lossFuncInterval[nameAndValues.Item1] = toAdd;
}
else if (isScoreMeasure(nameAndValues.Item2[0]) &&
fi.FieldType.FullName.Equals("MachineLearning.Learning.ML_Settings+ScoreMeasure"))
{
List <ScoreMeasure> toAdd = new List <ScoreMeasure>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(toScoreMeasure(value));
}
scoreMeasureInterval[nameAndValues.Item1] = toAdd;
}
else if (TimeSpan.TryParse(nameAndValues.Item2[0], out z) &&
fi.FieldType.FullName.Equals("System.TimeSpan"))
{
List <TimeSpan> toAdd = new List <TimeSpan>();
foreach (string value in nameAndValues.Item2)
{
toAdd.Add(TimeSpan.Parse(value));
}
learnTimeLimitInterval[nameAndValues.Item1] = toAdd;
}
else
{
GlobalState.logInfo.logLine("Invalid setting-value pair: " + nameAndValues.Item1 + " "
+ string.Join(",", nameAndValues.Item2) + ". This setting will be ignored.");
}
}
}