public override IRegressionProblemData LoadData(IDataDescriptor descriptor)
{
var featureSelectionDescriptor = descriptor as FeatureSelection;
if (featureSelectionDescriptor == null)
{
throw new ArgumentException("FeatureSelectionInstanceProvider expects an FeatureSelection data descriptor.");
}
// base call generates a regression problem data
var regProblemData = base.LoadData(featureSelectionDescriptor);
var problemData =
new FeatureSelectionRegressionProblemData(
regProblemData.Dataset, regProblemData.AllowedInputVariables, regProblemData.TargetVariable,
featureSelectionDescriptor.SelectedFeatures, featureSelectionDescriptor.Weights,
featureSelectionDescriptor.OptimalRSquared);
// copy values from regProblemData to feature selection problem data
problemData.Name = regProblemData.Name;
problemData.Description = regProblemData.Description;
problemData.TrainingPartition.Start = regProblemData.TrainingPartition.Start;
problemData.TrainingPartition.End = regProblemData.TrainingPartition.End;
problemData.TestPartition.Start = regProblemData.TestPartition.Start;
problemData.TestPartition.End = regProblemData.TestPartition.End;
return(problemData);
}
public override IRegressionProblemData LoadData(IDataDescriptor descriptor) {
var featureSelectionDescriptor = descriptor as FeatureSelection;
if (featureSelectionDescriptor == null) throw new ArgumentException("FeatureSelectionInstanceProvider expects an FeatureSelection data descriptor.");
// base call generates a regression problem data
var regProblemData = base.LoadData(featureSelectionDescriptor);
var problemData =
new FeatureSelectionRegressionProblemData(
regProblemData.Dataset, regProblemData.AllowedInputVariables, regProblemData.TargetVariable,
featureSelectionDescriptor.SelectedFeatures, featureSelectionDescriptor.Weights,
featureSelectionDescriptor.OptimalRSquared);
// copy values from regProblemData to feature selection problem data
problemData.Name = regProblemData.Name;
problemData.Description = regProblemData.Description;
problemData.TrainingPartition.Start = regProblemData.TrainingPartition.Start;
problemData.TrainingPartition.End = regProblemData.TrainingPartition.End;
problemData.TestPartition.Start = regProblemData.TestPartition.Start;
problemData.TestPartition.End = regProblemData.TestPartition.End;
return problemData;
}
protected FeatureSelectionRegressionProblemData(FeatureSelectionRegressionProblemData original, Cloner cloner)
: base(original, cloner)
{
}
protected FeatureSelectionRegressionProblemData(FeatureSelectionRegressionProblemData original, Cloner cloner)
: base(original, cloner) {
}
