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我使用libsvm C＃wrapper for svr来预测薪水.predicted结果是错误的。 libsvm为所有的实例赋予相同的值。我有预制形式的网格搜索参数选择。我可以在这里解决这个问题是我的代码。libsvm为所有数据集实例预测相同的值
Problem train = Problem.Read(@"H:\test.csv");
Problem test = Problem.Read(@"H:\testsvmf1.csv");
//For this example (and indeed, many scenarios), the default
//parameters will suffice.
Parameter parameters = new Parameter();
//double C;
//double Gamma;
//This will do a grid optimization to find the best parameters
//and store them in C and Gamma, outputting the entire
//search to params.txt.
ParameterSelection.Grid(train, parameters, @"H:\params.txt", out C, out Gamma);
parameters.C = 512;
parameters.Gamma = 0.5;
parameters.SvmType = SvmType.NU_SVR;
double cv = Training.PerformCrossValidation(train,parameters,10);
Console.Write(cv);
//Train the model using the optimal parameters.
Model model = Training.Train(train, parameters);
//Perform classification on the test data, putting the
//results in results.txt.
Prediction.Predict(test, @"H:\resultsnew1.txt", model, false);
}
public static SvmType NU_SVR { get; set; }