//dotnet run -- -s 1 -c 2 -e 0.1 -v 5 E:\temp\rcv1_train.binary
public void Run(string[] args)
{
// var config = new NLog.Config.LoggingConfiguration();
// var logfile = new NLog.Targets.FileTarget("logfile") { FileName = "file.txt" };
// var logconsole = new NLog.Targets.ConsoleTarget("logconsole");
// config.AddRule(NLog.LogLevel.Info, NLog.LogLevel.Fatal, logconsole);
// config.AddRule(NLog.LogLevel.Debug, NLog.LogLevel.Fatal, logfile);
// NLog.LogManager.Configuration = config;
var watch = System.Diagnostics.Stopwatch.StartNew();
if (args.Length == 0)
{
exit_with_help("Insufficient arguments provided");
}
Loader l = new Loader();
Model model_;
Problem prob;
Parameter param;
Linear solver = new Linear();
//Boolean flag_C_specified = false;
commandline_parameters p = parse_command_line(args);
prob = l.read_problem(p.input_file_name, p.bias);
param = new Parameter();
param.init_sol = null;
param.eps = p.term_epsilon;
param.solver_type = p.solver_type;
param.C = p.cost;
param.p = p.svr_epsilon;
param.nr_weight = p.weights.Count;
if (p.weights.Count > 0)
{
param.weight = p.weights.Values.ToArray();
param.weight_label = p.weights.Keys.ToArray();
}
else
{
param.weight = null;
param.weight_label = null;
}
var elapsedMsMid = watch.ElapsedMilliseconds;
_logger.LogInformation("Elpased Time {0}ms", elapsedMsMid);
string error_msg = param.check_parameter();
if (error_msg != null)
{
_logger.LogError("ERROR: {0}\n", error_msg);
Environment.Exit(-1);
}
if (p.flag_find_C)
{
double start_C, best_C = 0, best_rate = 0;
double max_C = 1024;
if (p.flag_C_specified)
{
start_C = param.C;
}
else
{
start_C = -1.0;
}
_logger.LogInformation(String.Format("Doing parameter search with {0}-fold cross validation.", p.nfold));
solver.find_parameter_C(prob, param, p.nfold, start_C, max_C, ref best_C, ref best_rate);
_logger.LogInformation(String.Format("Best C = {0} CV accuracy = {1}%", best_C, 100.0 * best_rate));
}
else if (p.flag_cross_validation)
{
do_cross_validation(solver, prob, param, p.nfold);
}
else
{
model_ = solver.train(prob, param);
_logger.LogInformation(String.Format("Attempting save to model to file {0}", p.model_file_name));
if (model_.save(p.model_file_name) == 0)
{
_logger.LogInformation(String.Format("can't save model to file {0}", p.model_file_name));
Environment.Exit(-1);
}
}
// the code that you want to measure comes here
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
_logger.LogInformation("Elapsed Time {0}ms", elapsedMs);
//System.Threading.Thread.Sleep (new TimeSpan (0, 0, 10));
//Environment.Exit( 0 );
}
commandline_parameters parse_command_line(string[] args)
{
commandline_parameters cp = new commandline_parameters();
//default values
cp.solver_type = SOLVER_TYPE.L2R_L2LOSS_SVC_DUAL;
cp.cost = 1;
cp.bias = -1;
cp.svr_epsilon = 0.1;
cp.flag_term_epsilon_specified = false;
cp.term_epsilon = 0.1;
cp.flag_cross_validation = false;
cp.flag_C_specified = false;
cp.flag_solver_specified = false;
cp.flag_find_C = false;
cp.nfold = 0;
cp.weights = new Dictionary <int, double> ();
// parse options
int i;
for (i = 0; i < args.Length; i++)
{
if (args[i][0] != '-')
{
break;
}
if (++i >= args.Length)
{
exit_with_help("Insufficient arguments");
}
switch (args[i - 1][1])
{
case 's':
int value = int.Parse(args[i]);
if (Enum.IsDefined(typeof(SOLVER_TYPE), value))
{
cp.flag_solver_specified = true;
cp.solver_type = (SOLVER_TYPE)value;
}
else
{
exit_with_help(string.Format("unknown solver_type {0}", args[i]));
}
break;
case 'c':
cp.cost = double.Parse(args[i]);
cp.flag_C_specified = true;
break;
case 'p':
cp.svr_epsilon = double.Parse(args[i]);
break;
case 'e':
cp.term_epsilon = double.Parse(args[i]);
cp.flag_term_epsilon_specified = true;
break;
case 'B':
cp.bias = double.Parse(args[i]);
break;
case 'w':
cp.weights.Add(int.Parse(args[i - 1][2].ToString()), double.Parse(args[i]));
break;
case 'v':
cp.flag_cross_validation = true;
cp.nfold = int.Parse(args[i]);
if (cp.nfold < 2)
{
exit_with_help("n-fold cross validation: n must >= 2\n");
}
break;
case 'q':
cp.flag_quiet = true;
i--;
break;
case 'C':
cp.flag_find_C = true;
i--;
break;
default:
exit_with_help(String.Format("unknown option: -{0}\n", args[i - 1][1]));
break;
}
}
// determine filenames
if (i >= args.Length)
{
exit_with_help("Missing training_set_file name");
}
cp.input_file_name = args[i];
if (i < args.Length - 1)
{
cp.model_file_name = args[i + 1];
}
else
{
string p;
int index = args[i].LastIndexOf('/');
if (index < 0)
{
p = args[i];
}
else
{
p = args[i].Substring(index) + ".model";
}
}
_logger.LogCritical("Solver {0}", cp.solver_type.ToString("g"));
// default solver for parameter selection is L2R_L2LOSS_SVC
if (cp.flag_find_C)
{
if (!cp.flag_cross_validation)
{
cp.nfold = 5;
}
if (!cp.flag_solver_specified)
{
_logger.LogInformation("Solver not specified. Using -s 2\n");
cp.solver_type = SOLVER_TYPE.L2R_L2LOSS_SVC;
}
else if (cp.solver_type != SOLVER_TYPE.L2R_LR && cp.solver_type != SOLVER_TYPE.L2R_L2LOSS_SVC)
{
exit_with_help("Warm-start parameter search only available for -s 0 and -s 2\n");
}
}
_logger.LogCritical("Solver {0}", Enum.GetName(typeof(SOLVER_TYPE), cp.solver_type));
if (!cp.flag_term_epsilon_specified)
{
switch (cp.solver_type)
{
case SOLVER_TYPE.L2R_LR:
case SOLVER_TYPE.L2R_L2LOSS_SVC:
cp.term_epsilon = 0.01;
break;
case SOLVER_TYPE.L2R_L2LOSS_SVR:
cp.term_epsilon = 0.001;
break;
case SOLVER_TYPE.L2R_L2LOSS_SVC_DUAL:
case SOLVER_TYPE.L2R_L1LOSS_SVC_DUAL:
case SOLVER_TYPE.MCSVM_CS:
case SOLVER_TYPE.L2R_LR_DUAL:
cp.term_epsilon = 0.1;
break;
case SOLVER_TYPE.L1R_L2LOSS_SVC:
case SOLVER_TYPE.L1R_LR:
cp.term_epsilon = 0.01;
break;
case SOLVER_TYPE.L2R_L1LOSS_SVR_DUAL:
case SOLVER_TYPE.L2R_L2LOSS_SVR_DUAL:
cp.term_epsilon = 0.1;
break;
}
}
return(cp);
}