| Util::PropertySet* Impala::Core::Training::Factory::MakeClassifierProperties | ( | ) | [inline] |
Definition at line 87 of file Factory.h.
References Impala::Util::PropertySet::Add(), Impala::Util::PropertySet::GetBool(), Impala::Util::PropertySet::GetInt(), Impala::CmdOptions::GetInt(), Impala::Util::PropertySet::GetString(), Impala::CmdOptions::GetString(), ILOG_VAR, ILOG_WARN, Impala::Core::Database::RawDataSet::IsImageSet(), mDataSet, and mOptions.
Referenced by Factory().
00088 { 00089 ILOG_VAR(Samples.mainCrossValidate.GetProperties); 00090 Util::PropertySet* properties = new Util::PropertySet; 00091 // todo: maybe we can change these calls into a loop. 00092 properties->Add("w1", mOptions->GetString("w1")); 00093 properties->Add("w2", mOptions->GetString("w2")); 00094 properties->Add("autoweight", mOptions->GetString("autoweight")); 00095 if(properties->GetBool("autoweight")) 00096 { 00097 properties->Add("w1", "1"); 00098 properties->Add("w2", "1"); 00099 } 00100 properties->Add("C", mOptions->GetString("C")); 00101 properties->Add("gamma", mOptions->GetString("gamma")); 00102 properties->Add("cache", mOptions->GetString("cache")); 00103 properties->Add("probability", mOptions->GetInt("probability")); 00104 properties->Add("kernel", mOptions->GetString("kernel")); 00105 properties->Add("precompute-kernel", 00106 mOptions->GetString("precompute-kernel")); 00107 properties->Add("folds", mOptions->GetInt("folds")); 00108 properties->Add("repetitions", mOptions->GetInt("repetitions")); 00109 properties->Add("episode-constrained", 00110 mOptions->GetInt("episode-constrained")); 00111 properties->Add("evaluator", mOptions->GetString("evaluator")); 00112 properties->Add("maxVideoId", mOptions->GetInt("maxVideoId")); 00113 properties->Add("maxPosPerVideo", mOptions->GetInt("maxPosPerVideo")); 00114 properties->Add("maxNegPerVideo", mOptions->GetInt("maxNegPerVideo")); 00115 properties->Add("restrictTestFoldSet", 00116 mOptions->GetInt("restrictTestFoldSet")); 00117 if (properties->GetInt("episode-constrained") && mDataSet->IsImageSet()) 00118 { 00119 ILOG_WARN("ImageSet learning doesn't support episode-constrained!"); 00120 properties->Add("episode-constrained", 0); 00121 } 00122 if (!properties->GetBool("episode-constrained")) 00123 ILOG_INFO_HEADNODE("not using episode constrained.") 00124 else 00125 ILOG_INFO_HEADNODE("using episode constrained.") 00126 ILOG_INFO_HEADNODE("using " << properties->GetString("evaluator") << 00127 " for evaluation."); 00128 00129 return properties; 00130 }
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