| int Impala::Application::mainCrossValidate | ( | int | argc, | |
| char ** | argv | |||
| ) |
Definition at line 77 of file mainCrossValidate.cpp.
References Impala::CmdOptions::AddOption(), CrossValidate(), Impala::Core::DataFactory::GetDistributedAccess(), Impala::CmdOptions::GetInstance(), ILOG_VAR, Impala::CmdOptions::Initialise(), main(), Impala::CmdOptions::ParseArgs(), and Impala::Core::DataFactory::ServeDistributedAccess().
Referenced by main().
00078 { 00079 ILOG_VAR(main); 00080 Link::Mpi::Init(&argc, &argv); 00081 int retval = 0; 00082 CmdOptions& options = CmdOptions::GetInstance(); 00083 options.Initialise(false, false, true); 00084 options.AddOption(0, "start", "index of concept to start with", "0"); 00085 options.AddOption(0, "number", "number of concepts", "-1"); 00086 options.AddOption(0, "concept", "name", ""); 00087 options.AddOption(0, "w1", "number or range", "[log-3:3/10]"); 00088 options.AddOption(0, "w2", "number or range", "[log-3:3/10]"); 00089 options.AddOption(0, "autoweight", "bool", "0"); 00090 options.AddOption(0, "C", "number or range", "1"); 00091 options.AddOption(0, "gamma", "number or range (-1 for 1/feat length)", "-1"); 00092 options.AddOption('r', "repetitions", "number", "2"); 00093 options.AddOption(0, "episode-constrained", "bool", "1"); 00094 options.AddOption(0, "assume-shotid", "bool", "0"); 00095 options.AddOption 00096 (0, "evaluator", 00097 "choose from {AP, BAP, AUC, P@N, R@N} where N is number (precision @ n)", 00098 "AP"); 00099 options.AddOption('f', "folds", "number", "3"); 00100 options.AddOption('m', "cache", "megabytes", "500"); 00101 options.AddOption('p', "probability", "bool", "0"); 00102 options.AddOption 00103 (0, "kernel", 00104 "string: [linear,poly,rbf,sigmoid,precomputed,hist,dist-precomputed]", 00105 "rbf"); 00106 options.AddOption(0, "precompute-kernel", "string: [chi2]", "chi2"); 00107 options.AddOption(0, "maxVideoId", "index", "-1"); 00108 options.AddOption(0, "maxPosPerVideo", "number", "-1"); 00109 options.AddOption(0, "maxNegPerVideo", "number", "-1"); 00110 options.AddOption(0, "dumpFolds", "", "0"); 00111 // prevent dataserver from keeping all ImageArchives open 00112 options.AddOption(0, "imCacheSize", "size", "1"); 00113 if (options.ParseArgs(argc, argv, "dataSet concepts model featureDef", 4)) 00114 { 00115 ApplicationFactory factory(&options); 00116 Util::PropertySet* properties = factory.MakeClassifierProperties(); 00117 Training::Factory* trainFactory = factory.MakeTrainFactory(properties); 00118 DataFactory* dataFactory = factory.MakeDataFactory(); 00119 /* when we use a distributed kernel matix we assume that node 0 does 00120 computation while other nodes load the distributed kernel matrix */ 00121 if(options.GetString("kernel") == "dist-precomputed" 00122 && Link::Mpi::MyId() != 0) 00123 { 00124 dataFactory->ServeDistributedAccess(); 00125 } 00126 else 00127 { 00128 // make sure we subscribe, even if we are skipping all concepts; 00129 // otherwise the program will hang 00130 if(options.GetString("kernel") == "dist-precomputed") 00131 dataFactory->GetDistributedAccess(); 00132 std::cout <<"id: "<< Link::Mpi::MyId() << " ,kernel = "<< 00133 options.GetString("kernel") << std::endl; 00134 CrossValidate(properties, trainFactory, dataFactory); 00135 } 00136 ILOG_DEBUG_ONCE("deleting dataFactory"); 00137 delete dataFactory; 00138 ILOG_DEBUG_ONCE("deleting trainFactory"); 00139 delete trainFactory; 00140 ILOG_DEBUG_ONCE("deleting properties"); 00141 delete properties; 00142 } 00143 00144 Link::Mpi::Finalize(); 00145 return retval; 00146 }
Here is the call graph for this function:
