public void calculateCorrelation_test1()
{
//
LearningApi api = new LearningApi(null);
// Initialize data provider
api.UseCsvDataProvider(@"CorrelationMatrix/corellation_data.csv", ',', true, 0);
//Custom action of dataset
api.UseActionModule <object[][], double[][]>((input, ctx) =>
{
return(toColumnVector(input));
});
// api.UseMinMaxNormalizer();
var data = api.Run() as double[][];
var prov = api.GetModule <CsvDataProvider>("CsvDataProvider");
var strData = new List <string>();
var hed = prov.Header.ToList();
hed.Insert(0, "");
strData.Add(string.Join(",", hed.ToArray()));
for (int i = 0; i < data.Length; i++)
{
var lst = new List <string>();
lst.Add(prov.Header[i]);
for (int k = 0; k < i; k++)
{
lst.Add(" ");
}
for (int j = i; j < data.Length; j++)
{
var corValue = data[i].CorrCoeffOf(data[j]);
if (double.IsNaN(corValue))
{
continue;
}
lst.Add(corValue.ToString("n5", CultureInfo.InvariantCulture));
}
strData.Add(string.Join(",", lst));
}
Assert.True("Col1,1.00000,0.16892,0.99111,0.75077,-0.82354,-0.85164" == strData[1]);
System.IO.File.WriteAllLines(@"CorrelationMatrix/strCorrlation.txt", strData);
//
return;
}
