Module es.upm.fi.cig.multictbnc
Package es.upm.fi.cig.multictbnc.fss

Interface OnlineFeatureSubsetSelection

All Known Implementing Classes:
ConInd
public interface OnlineFeatureSubsetSelection
This interface defines the structure for classes that implement online feature subset selection algorithms. Online feature subset selection algorithms analyze data as it becomes available and decide whether newly arriving features should be included in the model.

  • Method Summary

    Modifier and Type
    Method
    Description
    SubsetSelectedFeatures
    execute(String newVariable, Dataset dataBatch)
    Executes the feature subset selection algorithm for a newly arrived feature variable in a given data batch.
    boolean
    getLastExecutionYieldAnyChange()
    Returns a boolean indicating whether the last execution of the feature subset selection algorithm resulted in any changes to the selected feature subset.
    void
    setCurrentFeatureVariables(List<String> nameFeatureVariables)
    Sets the current set of feature variables.

  • Method Details

    • execute

      SubsetSelectedFeatures execute(String newVariable, Dataset dataBatch)
      Executes the feature subset selection algorithm for a newly arrived feature variable in a given data batch. This method is designed to analyze the relevance and redundancy of a new variable in the context of the current feature subset and update it accordingly.
      Parameters:
      newVariable - name of the new feature variable that is to be evaluated
      dataBatch - data batch containing the new variable along with existing features and class variables
      Returns:
      an instance of SubsetSelectedFeatureVariables, containing the subset of selected features

    • getLastExecutionYieldAnyChange

      boolean getLastExecutionYieldAnyChange()
      Returns a boolean indicating whether the last execution of the feature subset selection algorithm resulted in any changes to the selected feature subset.
      Returns:
      true if the last execution yielded a change in the feature subset, false otherwise

    • setCurrentFeatureVariables

      void setCurrentFeatureVariables(List<String> nameFeatureVariables)
      Sets the current set of feature variables.
      Parameters:
      nameFeatureVariables - list of names of the current feature variables