public ThreadDistributorTriangularMatrix(int nThreads, int n, Action<int, int> calculation)
{
int nTasks = n*(n - 1)/2;
nThreads = Math.Min(nThreads, nTasks);
td = new ThreadDistributor(nThreads, nTasks, i =>{
int j;
int k;
GetIndices(i, out j, out k);
calculation(j, k);
});
}
public ThreadDistributorTriangularMatrix(int nThreads, int n, Action <int, int> calculation)
{
int nTasks = n * (n - 1) / 2;
nThreads = Math.Min(nThreads, nTasks);
td = new ThreadDistributor(nThreads, nTasks, i => {
int j;
int k;
GetIndices(i, out j, out k);
calculation(j, k);
});
}
public override ClassificationModel Train(BaseVector[] x, int[][] y, int ngroups, Parameters param, int nthreads,
Action<double> reportProgress)
{
string err = CheckInput(x, y, ngroups);
if (err != null){
throw new Exception(err);
}
ParameterWithSubParams<int> kernelParam = param.GetParamWithSubParams<int>("Kernel");
SvmParameter sp = new SvmParameter{
kernelFunction = KernelFunctions.GetKernelFunction(kernelParam.Value, kernelParam.GetSubParameters()),
svmType = SvmType.CSvc,
c = param.GetParam<double>("C").Value
};
bool[] invert;
SvmProblem[] problems = CreateProblems(x, y, ngroups, out invert);
SvmModel[] models = new SvmModel[problems.Length];
ThreadDistributor td = new ThreadDistributor(nthreads, models.Length,
i => { models[i] = SvmMain.SvmTrain(problems[i], sp); }, fractionDone => { reportProgress?.Invoke(fractionDone); });
td.Start();
return new SvmClassificationModel(models, invert);
}
public ClassificationModel TrainGroupWise(BaseVector[] x, int[][] y, int ngroups, IGroupDataProvider data,
int nthreads)
{
ClassificationModel[] c = new ClassificationModel[ngroups];
ThreadDistributor td = new ThreadDistributor(nthreads, ngroups, i => { c[i] = TrainGroupWise(i, y, x, data); });
td.Start();
return new GroupWiseClassifier(c);
}
