/**
* <summary>The getSubSetOfFeatures method takes a {@link FeatureSubSet} as an input. First it creates a result {@link Instance}
* with the class label, and adds the attributes of the given featureSubSet to it.</summary>
*
* <param name="featureSubSet">{@link FeatureSubSet} an {@link ArrayList} of indices.</param>
* <returns>result Instance.</returns>
*/
public Instance GetSubSetOfFeatures(FeatureSubSet featureSubSet)
{
var result = new Instance(_classLabel);
for (var i = 0; i < featureSubSet.Size(); i++)
{
result.AddAttribute(_attributes[featureSubSet.Get(i)]);
}
return(result);
}
/**
* <summary>Generates new subset of attribute types by using given feature subset.</summary>
*
* <param name="featureSubSet">{@link FeatureSubSet} input.</param>
* <returns>DataDefinition with new subset of attribute types.</returns>
*/
public DataDefinition GetSubSetOfFeatures(FeatureSubSet featureSubSet)
{
var newAttributeTypes = new List <AttributeType>();
for (var i = 0; i < featureSubSet.Size(); i++)
{
newAttributeTypes.Add(_attributeTypes[featureSubSet.Get(i)]);
}
return(new DataDefinition(newAttributeTypes));
}
/**
* <summary>Return a subset generated via the given {@link FeatureSubSet}.</summary>
*
* <param name="featureSubSet">{@link FeatureSubSet} input.</param>
* <returns>Subset generated via the given {@link FeatureSubSet}.</returns>
*/
public DataSet GetSubSetOfFeatures(FeatureSubSet featureSubSet)
{
var result = new DataSet(_definition.GetSubSetOfFeatures(featureSubSet));
for (var i = 0; i < _instances.Size(); i++)
{
result.AddInstance(_instances.Get(i).GetSubSetOfFeatures(featureSubSet));
}
return(result);
}
/**
* <summary>Construct and returns a feature selection experiment.</summary>
* <param name="featureSubSet">Feature subset used in the feature selection experiment</param>
* <returns>Experiment constructed</returns>
*/
public Experiment FeatureSelectedExperiment(FeatureSubSet featureSubSet)
{
return(new Experiment(_classifier, _parameter, _dataSet.GetSubSetOfFeatures(featureSubSet)));
}
