static void Main(string[] args)
{
DataTable table = new Accord.IO.CsvReader("C:\\Users\\michael\\Downloads\\JulyToOct2015Test.csv", true).ToTable();
// Convert the DataTable to input and output vectors
double[][] inputs = table.ToJagged <double>("BookToPrice", "DividendYield", "DebtToEquity", "MarketBeta", "SectorID");
int[] outputs = table.Columns["MonthlyReturn"].ToArray <int>();
//SecurityID BookToPrice DividendYield EarningsYield SalesGrowth AssetsToEquity MarketCap MarketBeta DebtToEquity 1YrVol 5YrVol 3YrVol ExposureToCurrencyGain SectorID countryID
DecisionTree tree = new DecisionTree(
inputs: new List <DecisionVariable>
{
DecisionVariable.Continuous("BookToPrice"),
DecisionVariable.Continuous("DividendYield"),
DecisionVariable.Continuous("DebtToEquity"),
DecisionVariable.Continuous("MarketBeta"),
DecisionVariable.Discrete("SectorID", 11)
},
classes: 2);
C45Learning teacher = new C45Learning(tree);
teacher.Learn(inputs, outputs);
int[] answers = tree.Decide(inputs);
// Plot the results
// ScatterplotBox.Show("Expected results", inputs, outputs);
//ScatterplotBox.Show("Ans", inputs, answers)
// .Hold();
}
