code: package dotnet54.classifiers.knn;
  
  import dotnet54.classifiers.Classifier;
  import dotnet54.classifiers.Ensemble;
  import dotnet54.classifiers.ClassifierResult;
  import dotnet54.tscore.DebugInfo;
  import dotnet54.tscore.Options;
  import dotnet54.tscore.data.Dataset;
  import dotnet54.tscore.data.DatasetIndex;
  import dotnet54.tscore.data.TimeSeries;
  
  public class ElasticEnsemble implements Classifier, Ensemble {
      @Override
      public ClassifierResult fit(Dataset trainData) throws Exception {
          return null;
      }
  
      @Override
      public ClassifierResult fit(Dataset trainData, DatasetIndex trainIndices, DebugInfo debugInfo) throws Exception {
          return null;
      }
  
      @Override
      public ClassifierResult predict(Dataset testData) throws Exception {
          return null;
      }
  
      @Override
      public ClassifierResult predict(Dataset testData, DatasetIndex testIndices, DebugInfo debugInfo) throws Exception {
          return null;
      }
  
      @Override
      public ClassifierResult predictProba(Dataset testData) throws Exception {
          return null;
      }
  
      @Override
      public ClassifierResult predictProba(Dataset testData, DatasetIndex testIndices, DebugInfo debugInfo) throws Exception {
          return null;
      }
  
      @Override
      public int predict(TimeSeries query) throws Exception {
          return 0;
      }
  
      @Override
      public int predict(int queryIndex) throws Exception {
          return 0;
      }
  
      @Override
      public double predictProba(TimeSeries query) throws Exception {
          return 0;
      }
  
      @Override
      public double score(Dataset trainData, Dataset testData) throws Exception {
          return 0;
      }
  
      @Override
      public double score(Dataset trainData, Dataset testData, DebugInfo debugInfo) throws Exception {
          return 0;
      }
  
      @Override
      public Options getOptions() {
          return null;
      }
  
      @Override
      public void setOptions(Options options) {
  
      }
  
      @Override
      public ClassifierResult getTrainResults() {
          return null;
      }
  
      @Override
      public ClassifierResult getTestResults() {
          return null;
      }
  
      @Override
      public int getSize() {
          return 0;
      }
  
      @Override
      public Classifier[] getModels() {
          return new Classifier[0];
      }
  
      @Override
      public Classifier getModel(int i) {
          return null;
      }
  }
  