/** * <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))); }