Changeset 13941 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModel.cs
- Timestamp:
- 06/28/16 13:33:17 (8 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModel.cs
r13922 r13941 34 34 [StorableClass] 35 35 [Item("GaussianProcessModel", "Represents a Gaussian process posterior.")] 36 public sealed class GaussianProcessModel : NamedItem, IGaussianProcessModel {37 public IEnumerable<string> VariablesUsedForPrediction {36 public sealed class GaussianProcessModel : RegressionModel, IGaussianProcessModel { 37 public override IEnumerable<string> VariablesUsedForPrediction { 38 38 get { return allowedInputVariables; } 39 39 } … … 65 65 get { return meanFunction; } 66 66 } 67 [Storable] 68 private string targetVariable; 69 public string TargetVariable { 70 get { return targetVariable; } 71 } 67 72 68 [Storable] 73 69 private string[] allowedInputVariables; … … 132 128 this.trainingDataset = cloner.Clone(original.trainingDataset); 133 129 this.negativeLogLikelihood = original.negativeLogLikelihood; 134 this.targetVariable = original.targetVariable;135 130 this.sqrSigmaNoise = original.sqrSigmaNoise; 136 131 if (original.meanParameter != null) { … … 151 146 IEnumerable<double> hyp, IMeanFunction meanFunction, ICovarianceFunction covarianceFunction, 152 147 bool scaleInputs = true) 153 : base( ) {148 : base(targetVariable) { 154 149 this.name = ItemName; 155 150 this.description = ItemDescription; 156 151 this.meanFunction = (IMeanFunction)meanFunction.Clone(); 157 152 this.covarianceFunction = (ICovarianceFunction)covarianceFunction.Clone(); 158 this.targetVariable = targetVariable;159 153 this.allowedInputVariables = allowedInputVariables.ToArray(); 160 154 … … 186 180 187 181 IEnumerable<double> y; 188 y = ds.GetDoubleValues( targetVariable, rows);182 y = ds.GetDoubleValues(TargetVariable, rows); 189 183 190 184 int n = x.GetLength(0); … … 305 299 306 300 #region IRegressionModel Members 307 public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {301 public override IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) { 308 302 return GetEstimatedValuesHelper(dataset, rows); 309 303 } 310 public GaussianProcessRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {304 public override IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) { 311 305 return new GaussianProcessRegressionSolution(this, new RegressionProblemData(problemData)); 312 }313 IRegressionSolution IRegressionModel.CreateRegressionSolution(IRegressionProblemData problemData) {314 return CreateRegressionSolution(problemData);315 306 } 316 307 #endregion
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