public static Col Create(string colName)
{
Col output = null;
colName = colName.Trim();
bool hasMin = Test(MINIMIZE_CHAR, colName);
bool hasMax = Test(MAXIMIZE_CHAR, colName);
bool hasNumeric = Test(NUMERIC_CHAR, colName);
bool hasGoal = Test(GOAL_CHAR, colName);
if (hasMin || hasMax || hasNumeric)
{
output = new Num(colName);
}
else
{
output = new Sym(colName);
}
output.Goal = hasGoal || hasMin || hasMax;
output.Minimize = hasMin;
output.Weight = hasMin ? -1 : 1;
return(output);
}
static void Main(string[] args)
{
var sample = "aaaabbc";
var entropyTest = sample.ToCharArray();
var s = new Sym("test");
foreach (var blah in entropyTest)
{
s.AddCell(new Cell("" + blah, CellType.Symbolic));
}
Console.WriteLine($"Mode of {sample} is {s.Mode}");
Console.WriteLine($"Entropy of {sample} is {s.Entropy}");
var abcd = new Abcd();
for (int j = 1; j <= 6; j++)
{
abcd.RecordPrediction("yes", "yes");
}
for (int j = 1; j <= 2; j++)
{
abcd.RecordPrediction("no", "no");
}
for (int j = 1; j <= 5; j++)
{
abcd.RecordPrediction("maybe", "maybe");
}
abcd.RecordPrediction("maybe", "no");
var outpt = abcd.ToString();
Console.WriteLine("\nOutput for sample Abcd problem: ");
Console.WriteLine(outpt);
var t = new Tbl();
t.Read("weatherinput.csv");
Console.Out.WriteLine(t.ToString());
Console.Out.WriteLine(t.ToTreeString());
}