protected override void CreateMappedDataset()
{
foreach (List <string> row in DataSet)
{
int columns = row.Count;
Line data = new Line();
MappedDataSet.Add(data);
data.AddEntry(new LineEntry(row[0], Double.Parse(row[0]), 0));
for (int i = 1; i < columns; i++)
{
if (i > columns - 1)
{
throw new Exception("The column is out of bounds. "
+ "The wine dataset contains " + columns + " columns. "
+ "Tried to access the " + (i + 1) + "th column!");
}
else
{
data.AddEntry(new LineEntry("column " + i, Double.Parse(row[i], CultureInfo.InvariantCulture), i));
}
}
}
}
protected override void CreateMappedDataset()
{
foreach (List <string> stringLine in DataSet)
{
int cols = stringLine.Count;
Line l = new Line();
MappedDataSet.Add(l);
for (int i = 0; i < cols; i++)
{
switch (i)
{
case 0:
case 1:
case 2:
case 3:
l.AddEntry(new LineEntry("Col " + i, Double.Parse(stringLine[i], CultureInfo.InvariantCulture), i));
break;
case 4:
l.AddEntry(new LineEntry(stringLine[i], IrisMap(stringLine[i]), i));
break;
default:
throw new Exception("Row too long");
}
}
}
}
protected override void CreateMappedDataset()
{
foreach (List <string> row in DataSet)
{
int columns = row.Count;
Line data = new Line();
MappedDataSet.Add(data);
for (int i = 0; i < columns - 1; i++)
{
if (i > 5)
{
throw new Exception("The column is out of bounds. "
+ "The bankruptcy dataset contains 5 input columns. "
+ "Tried to access the " + i + "th column!");
}
else
{
data.AddEntry(new LineEntry("column " + i, InputMap(row[i]), i));
}
}
data.AddEntry(new LineEntry(row[6], OutputMap(row[6]), 6));
}
}
protected override void CreateMappedDataset()
{
int count = 0;
foreach (List <string> row in DataSet)
{
count++;
if (count % 500 != 0)
{
continue;
}
int columns = row.Count;
Line data = new Line();
MappedDataSet.Add(data);
double x = 0;
// inputs
data.AddEntry(new LineEntry("day", DayMap(row[3]), 3));
data.AddEntry(new LineEntry("time", TimeMap(row[4]), 4));
data.AddEntry(new LineEntry("state", StateMap(row[5]), 5));
data.AddEntry(new LineEntry("group size", GroupSizeMap(row[7]), 7));
data.AddEntry(new LineEntry("homeowner", HomeownerMap(row[8]), 8));
data.AddEntry(new LineEntry("car age", CarAgeMap(row[9]), 9));
data.AddEntry(new LineEntry("car value", CarValueMap(row[10]), 10));
data.AddEntry(new LineEntry("risk factor", RiskFactorMap(row[11]), 11));
data.AddEntry(new LineEntry("age, oldest", AgeOldestMap(row[12]), 12));
data.AddEntry(new LineEntry("age, youngest", AgeYoungestMap(row[13]), 13));
data.AddEntry(new LineEntry("married couple", MarriedCoupleMap(row[14]), 14));
data.AddEntry(new LineEntry("C previous", CPreviousMap(row[15]), 15));
data.AddEntry(new LineEntry("duration previous", DurationPreviousMap(row[16]), 16));
// outputs
for (int i = 17; i < 24; i++)
{
if (Double.TryParse(row[i], out x))
{
data.AddEntry(new LineEntry(row[i], x, i));
}
else
{
throw new Exception("Was expecting a double, but got " + row[i] + "."
+ "This was encountered in column " + i + "!"
+ "The index of the row is: " + DataSet.IndexOf(row));
}
}
// final output
data.AddEntry(new LineEntry("cost", CostMap(row[24]), 24));
}
System.Console.WriteLine("MappedDataset: " + MappedDataSet.Count);
}
protected override void CreateMappedDataset()
{
foreach (List <string> stringLine in DataSet)
{
int cols = stringLine.Count;
Line line = new Line();
MappedDataSet.Add(line);
for (int i = 0; i < cols; i++)
{
string value = stringLine[i];
//if(line.IndexOf("?") != -1)
// continue;
switch (i)
{
case 0:
line.AddEntry(new LineEntry("age", IncomeDataset.AgeMap(value), i));
break;
case 1:
line.AddEntry(new LineEntry("workclass", IncomeDataset.WorkClassMap(value), i));
break;
case 2:
// Fitting weight, not needed
break;
case 3:
// Education in words, case 4 is the same in years
break;
case 4:
line.AddEntry(new LineEntry("education-num", IncomeDataset.EducationNumMap(value), i));
break;
case 5:
line.AddEntry(new LineEntry("marital-status", IncomeDataset.MaritalStatusMap(value), i));
break;
case 6:
line.AddEntry(new LineEntry("occupation", IncomeDataset.OccupationMap(value), i));
break;
case 7:
line.AddEntry(new LineEntry("relationship", IncomeDataset.RelationshipMap(value), i));
break;
case 8:
line.AddEntry(new LineEntry("race", IncomeDataset.RaceMap(value), i));
break;
case 9:
line.AddEntry(new LineEntry("sex", IncomeDataset.SexMap(value), i));
break;
case 10:
line.AddEntry(new LineEntry("capital-gain", IncomeDataset.CapitalGainMap(value, GainMedian), i));
break;
case 11:
line.AddEntry(new LineEntry("capital-loss", IncomeDataset.CapitalLossMap(value, LossMedian), i));
break;
case 12:
line.AddEntry(new LineEntry("hours-per-week", IncomeDataset.HoursPerWeekMap(value), i));
break;
case 13:
line.AddEntry(new LineEntry("native-country", IncomeDataset.NativeCountryMap(value), i));
break;
case 14:
line.AddEntry(new LineEntry("salary >50K?", IncomeDataset.IncomeMap(value[0]), i));
break;
default:
throw new Exception("No mapping of inputs");
}
}
}
}