本文整理汇总了C++中PBowDocBs::GetWords方法的典型用法代码示例。如果您正苦于以下问题：C++ PBowDocBs::GetWords方法的具体用法？C++ PBowDocBs::GetWords怎么用？C++ PBowDocBs::GetWords使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类PBowDocBs的用法示例。
在下文中一共展示了PBowDocBs::GetWords方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: TMatrix
TBowMatrix::TBowMatrix(PBowDocBs BowDocBs, PBowDocWgtBs BowDocWgtBs,
const TStr& CatNm, const TIntV& DIdV, TFltV& ClsV): TMatrix() {
RowN = BowDocBs->GetWords();
ClsV.Gen(DIdV.Len(), 0);
ColSpVV.Gen(DIdV.Len(), 0);
IAssert(BowDocBs->IsCatNm(CatNm));
int CatId = BowDocBs->GetCId(CatNm);
for (int i = 0; i < DIdV.Len(); i++) {
ColSpVV.Add(BowDocWgtBs->GetSpV(DIdV[i]));
ClsV.Add(BowDocBs->IsCatInDoc(DIdV[i], CatId) ? 0.99 : -0.99);
}
}示例2: New
PBowMd TBowCentroidMd::New(const PBowDocBs& BowDocBs,
const PBowDocWgtBs& BowDocWgtBs, const TStr& CatNm,
const TIntV& TrainDIdV) {
// create model
TBowCentroidMd* CentroidMd = new TBowCentroidMd(BowDocBs);
PBowMd BowMd(CentroidMd); CentroidMd->CatNm = CatNm;
// compute centroid
TIntV CatDIdV; const int CId = BowDocBs->GetCId(CatNm);
for (int TrainDIdN = 0; TrainDIdN < TrainDIdV.Len(); TrainDIdN++) {
const int DId = TrainDIdV[TrainDIdN];
if (BowDocBs->IsCatInDoc(DId, CId)) { CatDIdV.Add(DId); }
}
PBowSim BowSim = TBowSim::New(bstCos);
PBowSpV CentroidSpV = TBowClust::GetConceptSpV(BowDocWgtBs, BowSim, CatDIdV);
CentroidMd->CentroidV.Gen(BowDocBs->GetWords());
CentroidMd->CentroidV.PutAll(0.0);
TBowLinAlg::AddVec(1.0, CentroidSpV, CentroidMd->CentroidV);
return CentroidMd;
}示例3: GetOntoGroundNN
PLwOntoGround TLwOntoGround::GetOntoGroundNN(const PLwOnto& LwOnto,
const PBowDocBs& BowDocBs, const TStr& LangNm) {
printf("Generating Ontology-Classifier...\n");
// shortcuts
PLwTermBs TermBs=LwOnto->GetTermBs();
const int Terms = TermBs->GetTerms();
const int LangId = LwOnto->GetLangBs()->GetLangId(LangNm);
const int Words = BowDocBs->GetWords();
// create tfidf
printf(" Creating BowDocWgtBs ...");
PBowDocWgtBs BowDocWgtBs=TBowDocWgtBs::New(BowDocBs, bwwtNrmTFIDF);
PBowSim BowSim=TBowSim::New(bstCos);
printf(" Done.\n");
// collect documents per ontology-term
printf(" Collecting documents per ontology-term ... ");
THash<TInt, PBowSpV> TermIdToConceptSpVH;
for (int TermN = 0; TermN < Terms; TermN++){
int TermId = TermBs->GetTermId(TermN);
PLwTerm Term = TermBs->GetTerm(TermId);
if (Term->GetLangId() != LangId) { continue; }
// do nearest neighbour search
PBowSpV TermSpV = BowDocBs->GetSpVFromHtmlStr(
Term->GetTermNm(), BowDocWgtBs);
TFltIntKdV SimDIdKdV;
BowDocWgtBs->GetSimDIdV(TermSpV, BowSim, SimDIdKdV, false);
TFltV TermV(Words); TermV.PutAll(0.0);
for (int SimDIdKdN = 0; SimDIdKdN < SimDIdKdV.Len(); SimDIdKdN++) {
PBowSpV DocSpV = BowDocWgtBs->GetSpV(SimDIdKdV[SimDIdKdN].Dat);
const double Sim = SimDIdKdV[SimDIdKdN].Key;
TBowLinAlg::AddVec(Sim, DocSpV, TermV);
}
TermIdToConceptSpVH.AddDat(TermId, TBowSpV::New(-1, TermV, TFlt::Eps));
}
printf(" Done.\n");
// create & return classifier
PLwOntoGround OntoGround = TLwOntoGround::New(LwOnto,
BowDocBs, BowDocWgtBs, TermIdToConceptSpVH);
printf("Done.\n");
return OntoGround;
}