C# (CSharp) HeuristicLab.Algorithms.DataAnalysis MultinomialLogitModel示例

示例#1

文件： MultinomialLogitModel.cs 项目： t-h-e/HeuristicLab

 private MultinomialLogitModel(MultinomialLogitModel original, Cloner cloner)
   : base(original, cloner) {
   logitModel = new alglib.logitmodel();
   logitModel.innerobj.w = (double[])original.logitModel.innerobj.w.Clone();
   allowedInputVariables = (string[])original.allowedInputVariables.Clone();
   classValues = (double[])original.classValues.Clone();
 }

示例#2

文件： MultinomialLogitModel.cs 项目： stuarthillary/HeuristicLab

 private MultinomialLogitModel(MultinomialLogitModel original, Cloner cloner)
     : base(original, cloner)
 {
     logitModel            = new alglib.logitmodel();
     logitModel.innerobj.w = (double[])original.logitModel.innerobj.w.Clone();
     allowedInputVariables = (string[])original.allowedInputVariables.Clone();
     classValues           = (double[])original.classValues.Clone();
 }

示例#3

 private MultinomialLogitModel(MultinomialLogitModel original, Cloner cloner)
     : base(original, cloner)
 {
     logitModel            = new alglib.logitmodel();
     logitModel.innerobj.w = (double[])original.logitModel.innerobj.w.Clone();
     allowedInputVariables = (string[])original.allowedInputVariables.Clone();
     classValues           = (double[])original.classValues.Clone();
     this.factorVariables  = original.factorVariables.Select(kvp => new KeyValuePair <string, IEnumerable <string> >(kvp.Key, new List <string>(kvp.Value))).ToList();
 }

示例#4

文件： MultinomialLogitClassificationSolution.cs 项目： liujiandu/HeuristicLab

 public MultinomialLogitClassificationSolution(MultinomialLogitModel logitModel, IClassificationProblemData problemData)
     : base(logitModel, problemData)
 {
 }

示例#5

文件： MultinomialLogitClassificationSolution.cs 项目： t-h-e/HeuristicLab

 public MultinomialLogitClassificationSolution( MultinomialLogitModel logitModel,IClassificationProblemData problemData)
   : base(logitModel, problemData) {
 }