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Ignore:
Timestamp:
06/25/15 13:46:24 (9 years ago)
Author:
mkommend
Message:

#2276: Reintegrated branch for dataset refactoring.

Location:
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork
Files:
6 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs

    r12504 r12509  
    179179    public static IClassificationSolution CreateNeuralNetworkClassificationSolution(IClassificationProblemData problemData, int nLayers, int nHiddenNodes1, int nHiddenNodes2, double decay, int restarts,
    180180      out double rmsError, out double avgRelError, out double relClassError) {
    181       Dataset dataset = problemData.Dataset;
     181      var dataset = problemData.Dataset;
    182182      string targetVariable = problemData.TargetVariable;
    183183      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassification.cs

    r12504 r12509  
    165165    public static IClassificationSolution CreateNeuralNetworkEnsembleClassificationSolution(IClassificationProblemData problemData, int ensembleSize, int nLayers, int nHiddenNodes1, int nHiddenNodes2, double decay, int restarts,
    166166      out double rmsError, out double avgRelError, out double relClassError) {
    167       Dataset dataset = problemData.Dataset;
     167      var dataset = problemData.Dataset;
    168168      string targetVariable = problemData.TargetVariable;
    169169      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs

    r12012 r12509  
    8686    }
    8787
    88     public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {
     88    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
    8989      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    9090
    … …  
    103103    }
    104104
    105     public IEnumerable<double> GetEstimatedClassValues(Dataset dataset, IEnumerable<int> rows) {
     105    public IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
    106106      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    107107

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleRegression.cs

    r12504 r12509  
    164164    public static IRegressionSolution CreateNeuralNetworkEnsembleRegressionSolution(IRegressionProblemData problemData, int ensembleSize, int nLayers, int nHiddenNodes1, int nHiddenNodes2, double decay, int restarts,
    165165      out double rmsError, out double avgRelError) {
    166       Dataset dataset = problemData.Dataset;
     166      var dataset = problemData.Dataset;
    167167      string targetVariable = problemData.TargetVariable;
    168168      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs

    r12012 r12509  
    9494    }
    9595
    96     public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {
     96    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
    9797      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    9898
    … …  
    111111    }
    112112
    113     public IEnumerable<double> GetEstimatedClassValues(Dataset dataset, IEnumerable<int> rows) {
     113    public IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
    114114      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    115115

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkRegression.cs

    r12504 r12509  
    180180    public static IRegressionSolution CreateNeuralNetworkRegressionSolution(IRegressionProblemData problemData, int nLayers, int nHiddenNodes1, int nHiddenNodes2, double decay, int restarts,
    181181      out double rmsError, out double avgRelError) {
    182       Dataset dataset = problemData.Dataset;
     182      var dataset = problemData.Dataset;
    183183      string targetVariable = problemData.TargetVariable;
    184184      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
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