- Generated by
1.8.12
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TRF Language Model
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This is the complete list of members for hrf::Model, including all inherited members.
| AISNormalize(int nLen, int nChain, int nInter) | trf::Model | |
| AISNormalize(int nLenMin, int nLenMax, int nChain, int nInter) | trf::Model | |
| BufMap(T *p, VecShell< T > &feat, Mat3dShell< T > &VH, Mat3dShell< T > &CH, Mat3dShell< T > &HH, MatShell< T > &Bias) | hrf::Model | inline |
| ClusterSum(Seq &seq, int nPos, int nOrder) | hrf::Model | |
| trf::Model::ClusterSum(Seq &seq, int nPos, int nOrder) | trf::Model | |
| DecodeHidden(int n, VecShell< HValue > hi) | hrf::Model | |
| DecodeHidden(VecShell< int > &vn, Mat< HValue > &h, int nPos=0, int nDim=-1) | hrf::Model | |
| DecodeLayer(VecShell< int > &vn, Mat< HValue > &h, int layer, int nPos=0, int nDim=-1) | hrf::Model | |
| DecodeNode(int n, VocabID &xi, VocabID &ci, VecShell< HValue > &hi) | hrf::Model | |
| DecodeNode(VecShell< int > &vn, Seq &seq, int nPos=0, int nDim=-1) | hrf::Model | |
| EncodeHidden(VecShell< HValue > hi) | hrf::Model | |
| EncodeNode(VocabID xi, VocabID ci, VecShell< HValue > &hi) | hrf::Model | |
| EncodeNode(VecShell< int > &vn, Seq &seq, int nPos=0, int nDim=-1) | hrf::Model | |
| ExactNormalize(int nLen) | hrf::Model | virtual |
| ExactNormalize() | hrf::Model | virtual |
| FeatClusterSum(trf::Seq &x, int nPos, int nOrder) | hrf::Model | |
| FeatCount(Seq &seq, VecShell< double > featcount, Mat3dShell< double > VHcount, Mat3dShell< double > CHcount, Mat3dShell< double > HHcount, MatShell< double > Bcount, double dadd=1) | hrf::Model | |
| FeatCount(Seq &seq, VecShell< double > count, double dadd=1) | hrf::Model | |
| trf::Model::FeatCount(Seq &seq, double *pCount, double dadd=1.0) | trf::Model | |
| GetConditionalProbForH(VecShell< HValue > &hi, VecShell< Prob > &probs) | hrf::Model | |
| GetEncodeHiddenLimit() const | hrf::Model | |
| GetEncodeLayerLimit() const | hrf::Model | |
| GetEncodeNodeLimit() const | hrf::Model | |
| GetHiddenExp(VecShell< int > x, double *pExp) | hrf::Model | |
| GetHiddenOrder() const | hrf::Model | inline |
| GetHnode() const | hrf::Model | inline |
| GetLayerExp(AlgLayer &fb, int nLayer, Mat3dShell< double > &VHexp, Mat3dShell< double > &CHexp, Mat3dShell< double > &HHexp, MatShell< double > &Bexp, LogP logz=0) | hrf::Model | |
| GetLogProb(Seq &seq, bool bNorm=true) | hrf::Model | |
| GetLogProb(VecShell< VocabID > &x, bool bNorm=true) | hrf::Model | |
| trf::Model::GetLogProb(Seq &seq, bool bNorm=true) | trf::Model | |
| GetLogProb_AIS(VecShell< VocabID > &x, int nChain=10, int nIntermediate=10000) | hrf::Model | |
| GetLogProb_Gibbs(VecShell< VocabID > &x, int num=100) | hrf::Model | |
| GetMarginalLogProb(int nLen, int nPos, Seq &sub, bool bNorm=true) | hrf::Model | |
| GetMarginalProbOfC(Seq &seq, int nPos) | hrf::Model | |
| trf::Model::GetMarginalProbOfC(Seq &seq, int nPos) | trf::Model | |
| GetMaxLen() const | trf::Model | inline |
| GetMaxOrder() const | trf::Model | inline |
| GetNodeExp(double *pExp, Prob *pLenProb=NULL) | hrf::Model | |
| GetNodeExp(int nLen, double *pExp) | hrf::Model | |
| GetNodeExp(int nLen, VecShell< double > featexp, Mat3dShell< double > VHexp, Mat3dShell< double > CHexp, Mat3dShell< double > HHexp, MatShell< double > Bexp) | hrf::Model | |
| GetParam(PValue *pParam) | hrf::Model | |
| GetParamNum() const | hrf::Model | inline |
| GetReducedModel(Seq &seq, int nPos) | trf::Model | |
| GetReducedModelForC(Seq &seq, int nPos) | hrf::Model | |
| trf::Model::GetReducedModelForC(Seq &seq, int nPos) | trf::Model | |
| GetReducedModelForH(Seq &seq, int nPos) | hrf::Model | |
| GetReducedModelForW(Seq &seq, int nPos) | hrf::Model | |
| trf::Model::GetReducedModelForW(Seq &seq, int nPos) | trf::Model | |
| GetVocab() const | trf::Model | inline |
| GetZeta(T *pzeta) | trf::Model | inline |
| HiddenClusterSum(Seq &seq, int nPos, int nOrder) | hrf::Model | |
| HiddenFeatCount(Seq &seq, Mat3dShell< double > VHcount, Mat3dShell< double > CHcount, Mat3dShell< double > HHcount, MatShell< double > Bcount, double dadd=1) | hrf::Model | |
| LayerClusterSum(Seq &seq, int nlayer, int nPos, int nOrder) | hrf::Model | |
| LoadFromCorpus(const char *pcorpus, const char *pfeatstyle, int nOrder) | trf::Model | |
| LocalJump(Seq &seq) | hrf::Model | |
| trf::Model::LocalJump(Seq &seq) | trf::Model | |
| m_AlgNode | trf::Model | protected |
| m_hlayer | hrf::Model | |
| m_hnode | hrf::Model | |
| m_logz | trf::Model | |
| m_m3dCH | hrf::Model | |
| m_m3dHH | hrf::Model | |
| m_m3dVH | hrf::Model | |
| m_matBias | hrf::Model | |
| m_matLenJump | trf::Model | |
| m_maxlen | trf::Model | |
| m_maxSampleLen | trf::Model | |
| m_nLenJumpAccTimes | hrf::Model | |
| m_nLenJumpTotalTime | hrf::Model | |
| m_nodeCal | hrf::Model | protected |
| m_nSampleHAccTimes | hrf::Model | |
| m_nSampleHTotalTimes | hrf::Model | |
| m_pFeat | trf::Model | |
| m_pi | trf::Model | |
| m_pVocab | trf::Model | |
| m_value | trf::Model | |
| m_zeta | trf::Model | |
| MarkovMove(Seq &seq) | hrf::Model | |
| trf::Model::MarkovMove(Seq &seq) | trf::Model | virtual |
| Model(Vocab *pv) | hrf::Model | inline |
| Model(Vocab *pv, int hlayer, int hnode, int maxlen) | hrf::Model | inline |
| trf::Model::Model(Vocab *pv, int maxlen) | trf::Model | inline |
| PerformSAMS(int nMinibatch, int tmax, int t0, int beta, double zgap=10) | hrf::Model | |
| ProposeC0(VocabID &ci, Seq &seq, int nPos, bool bSample) | hrf::Model | |
| trf::Model::ProposeC0(VocabID &ci, Seq &seq, int nPos, bool bSample) | trf::Model | |
| ProposeCProbs(VecShell< LogP > &logps, Seq &seq, int nPos) | hrf::Model | |
| trf::Model::ProposeCProbs(VecShell< LogP > &logps, Seq &seq, int nPos) | trf::Model | |
| ProposeH0(VecShell< HValue > &hi, Seq &seq, int nPos, bool bSample) | hrf::Model | |
| ProposeHProbs(VecShell< LogP > &logps, Seq &seq, int nPos, bool bConsiderXandC=false) | hrf::Model | |
| ProposeLength(int nOld, int &nNew, bool bSample) | hrf::Model | |
| RandHidden(Seq &seq) | hrf::Model | |
| RandSeq(Seq &seq, int nLen=-1) | hrf::Model | |
| ReadT(const char *pfilename) | hrf::Model | |
| Reset(Vocab *pv, int hlayer, int hnode, int maxlen) | hrf::Model | |
| trf::Model::Reset(Vocab *pv, int maxlen) | trf::Model | |
| Sample(Seq &seq) | hrf::Model | |
| trf::Model::Sample(Seq &seq) | trf::Model | |
| SampleC(Seq &seq, int nPos) | hrf::Model | |
| trf::Model::SampleC(Seq &seq, int nPos) | trf::Model | |
| SampleHAndCGivenX(Seq &seq, MatShell< HValue > *tagH=NULL) | hrf::Model | virtual |
| SampleW(Seq &seq, int nPos, bool bSample=true) | hrf::Model | |
| SampleX(Seq &seq, int nPos, bool bSample=true) | trf::Model | |
| SetParam(PValue *pParam) | hrf::Model | virtual |
| SetPi(Prob *pPi) | trf::Model | |
| SetZeta(T *pzeta) | trf::Model | inline |
| SumHHWeight(Mat3dShell< PValue > m, VecShell< HValue > h1, VecShell< HValue > h2) | hrf::Model | |
| SumHHWeight(Mat3dShell< PValue > m, VecShell< HValue > h1, VecShell< HValue > h2, int layer) | hrf::Model | |
| SumVHWeight(MatShell< PValue > m, VecShell< HValue > h) | hrf::Model | |
| SumVHWeight(MatShell< PValue > m, VecShell< HValue > h, int layer) | hrf::Model | |
| WriteT(const char *pfilename) | hrf::Model | |
| ~Model() | trf::Model | inline |
1.8.12