public Dictionary <string, List <object> > ModelEvaluation()
{
var bs = Factory.ProgresReport.BestSolution;
var par = Factory.Parameters;
var dic = new Dictionary <string, List <object> >();
//
if (bs != null)
{
//get output for training data set
var yy = ExpData.GetColumnOutputValues(false);
var y1 = yy[0];//Inputs.GetDataOutputCol(true);//experiment
var output = calculateOutput(true, true);
//get output for testing data set if available
var yy1 = ExpData.GetColumnOutputValues(true);
var y2 = yy1 != null ? yy1[0] : null;//Inputs.GetDataOutputCol(false);//experiment
var outputt = calculateOutput(false, true);
//
var col = ExpData.GetColumnsFromOutput().FirstOrDefault();
if (col.ColumnDataType == ColumnType.Binary || col.ColumnDataType == ColumnType.Category)
{
dic.Add("Classes", col.Statistics.Categories.ToList <object>());
}
//add data sets
dic.Add("obs_train", y1.Select(x => (object)x).ToList <object>());
dic.Add("prd_train", output.Select(x => (object)x).ToList <object>());
//add test dataset
if (y2 != null)
{
dic.Add("obs_test", y2.Select(x => (object)x).ToList <object>());
dic.Add("prd_test", outputt.Select(x => (object)x).ToList <object>());
}
return(dic);
}
return(null);
}