Examples of EnsembleSelectionLibrary

weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
This class represents an ensemble library. That is a collection of models that will be combined via the ensemble selection algorithm. This class is responsible for tracking all of the unique model specifications in the current library and trainined them when asked. There are also methods to save/load library model list files. @author Robert Jung @author David Michael @version $Revision: 1.2 $

Examples of weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary

    String  tmpStr;
    
    tmpStr = Utils.getOption('L', options);
    if (tmpStr.length() != 0) {
      m_modelLibraryFileName = tmpStr;
      m_library = new EnsembleSelectionLibrary(m_modelLibraryFileName);
    } else {
      setLibrary(new EnsembleSelectionLibrary());
      // setLibrary(new Library(super.m_Classifiers));
    }
    
    tmpStr = Utils.getOption('W', options);
    if (tmpStr.length() != 0 && validWorkingDirectory(tmpStr)) {

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Examples of weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary

      }
      
    }
    
    if (m_library == null) {
      m_library = new EnsembleSelectionLibrary();
      m_library.setDebug(m_Debug);
    }
    
    m_library.setNumFolds(getNumFolds());
    m_library.setValidationRatio(getValidationRatio());

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