Example #1
0
        public static void Predict(params string[] args)
        {
            int  i = 0;
            bool predictProbability = false;

            // parse options
            for (i = 0; i < args.Length; i++)
            {
                if (args[i][0] != '-')
                {
                    break;
                }
                ++i;
                switch (args[i - 1][1])
                {
                case 'b':
                    predictProbability = int.Parse(args[i]) == 1;
                    break;

                default:
                    throw new ArgumentException("Unknown option");
                }
            }
            if (i >= args.Length)
            {
                throw new ArgumentException("No input, model and output files provided");
            }

            Problem problem = Problem.Read(args[i]);
            Model   model   = Model.Read(args[i + 1]);

            Predict(problem, args[i + 2], model, predictProbability);
        }
Example #2
0
        private static void parseCommandLine(string[] args, out Parameter parameters, out Problem problem, out bool crossValidation, out int nrfold, out string modelFilename)
        {
            int i;

            parameters = new Parameter();
            // default values

            crossValidation = false;
            nrfold          = 0;

            // parse options
            for (i = 0; i < args.Length; i++)
            {
                if (args[i][0] != '-')
                {
                    break;
                }
                ++i;
                switch (args[i - 1][1])
                {
                case 's':
                    parameters.SvmType = (SvmType)int.Parse(args[i]);
                    break;

                case 't':
                    parameters.KernelType = (KernelType)int.Parse(args[i]);
                    break;

                case 'd':
                    parameters.Degree = int.Parse(args[i]);
                    break;

                case 'g':
                    parameters.Gamma = double.Parse(args[i]);
                    break;

                case 'r':
                    parameters.Coefficient0 = double.Parse(args[i]);
                    break;

                case 'n':
                    parameters.Nu = double.Parse(args[i]);
                    break;

                case 'm':
                    parameters.CacheSize = double.Parse(args[i]);
                    break;

                case 'c':
                    parameters.C = double.Parse(args[i]);
                    break;

                case 'e':
                    parameters.EPS = double.Parse(args[i]);
                    break;

                case 'p':
                    parameters.P = double.Parse(args[i]);
                    break;

                case 'h':
                    parameters.Shrinking = int.Parse(args[i]) == 1;
                    break;

                case 'b':
                    parameters.Probability = int.Parse(args[i]) == 1;
                    break;

                case 'v':
                    crossValidation = true;
                    nrfold          = int.Parse(args[i]);
                    if (nrfold < 2)
                    {
                        throw new ArgumentException("n-fold cross validation: n must >= 2");
                    }
                    break;

                case 'w':
                    parameters.Weights[int.Parse(args[i - 1].Substring(2))] = double.Parse(args[1]);
                    break;

                default:
                    throw new ArgumentException("Unknown Parameter");
                }
            }

            // determine filenames

            if (i >= args.Length)
            {
                throw new ArgumentException("No input file specified");
            }

            problem = Problem.Read(args[i]);

            if (parameters.Gamma == 0)
            {
                parameters.Gamma = 1.0 / problem.MaxIndex;
            }

            if (i < args.Length - 1)
            {
                modelFilename = args[i + 1];
            }
            else
            {
                int p = args[i].LastIndexOf('/') + 1;
                modelFilename = args[i].Substring(p) + ".model";
            }
        }