public ISupervisedLearning<SupportVectorMachine, double[], double> CreateAlgorithm()
{
switch (type)
{
case LibSvmSolverType.L2RegularizedLogisticRegression: // -s 0
return new ProbabilisticNewtonMethod();
case LibSvmSolverType.L2RegularizedL2LossSvcDual: // -s 1
return new LinearDualCoordinateDescent() { Loss = Loss.L2 };
case LibSvmSolverType.L2RegularizedL2LossSvc: // -s 2
return new LinearNewtonMethod();
case LibSvmSolverType.L2RegularizedL1LossSvcDual: // -s 3
return new LinearDualCoordinateDescent() { Loss = Loss.L1 };
case LibSvmSolverType.L1RegularizedL2LossSvc: // -s 5
return new LinearCoordinateDescent();
case LibSvmSolverType.L1RegularizedLogisticRegression: // -s 6
return new ProbabilisticCoordinateDescent();
case LibSvmSolverType.L2RegularizedLogisticRegressionDual: // -s 7
return new ProbabilisticDualCoordinateDescent();
case LibSvmSolverType.L2RegularizedL2LossSvr: // -11
return new LinearRegressionNewtonMethod();
case LibSvmSolverType.L2RegularizedL2LossSvrDual: // -12
return new LinearRegressionCoordinateDescent() { Loss = Loss.L2 };
case LibSvmSolverType.L2RegularizedL1LossSvrDual: // -13
return new LinearRegressionCoordinateDescent() { Loss = Loss.L1 };
}
throw new NotSupportedException("This solver type is unknown or not supported.");
}
