SNAP Library 2.0, User Reference
2013-05-13 16:33:57
SNAP, a general purpose, high performance system for analysis and manipulation of large networks
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AddCom(const int &NID, const int &CID, const double &Val) | TAGMFast | [inline] |
DelCom(const int &NID, const int &CID) | TAGMFast | [inline] |
DoParallel | TAGMFast | |
DotProduct(const TIntFltH &UV, const TIntFltH &VV) | TAGMFast | [inline] |
DotProduct(const int &UID, const int &VID) | TAGMFast | [inline] |
F | TAGMFast | [private] |
FindComsByCV(TIntV &ComsV, const double HOFrac=0.2, const int NumThreads=20, const TStr PlotLFNm=TStr(), const double StepAlpha=0.3, const double StepBeta=0.1) | TAGMFast | |
FindComsByCV(const int NumThreads, const int MaxComs, const int MinComs, const int DivComs, const TStr OutFNm, const double StepAlpha=0.3, const double StepBeta=0.3) | TAGMFast | |
G | TAGMFast | [private] |
GetCmtyVV(TVec< TIntV > &CmtyVV) | TAGMFast | |
GetCmtyVV(TVec< TIntV > &CmtyVV, const double Thres, const int MinSz=3) | TAGMFast | |
GetCom(const int &NID, const int &CID) | TAGMFast | [inline] |
GetRegCoef() | TAGMFast | [inline] |
GetStepSizeByLineSearch(const int UID, const TIntFltH &DeltaV, const TIntFltH &GradV, const double &Alpha, const double &Beta, const int MaxIter=10) | TAGMFast | |
GradientForOneVar(const TFltV &AlphaKV, const int UID, const int CID, const double &Val) | TAGMFast | |
GradientForRow(const int UID, TIntFltH &GradU, const TIntSet &CIDSet) | TAGMFast | |
HessianForOneVar(const TFltV &AlphaKV, const int UID, const int CID, const double &Val) | TAGMFast | |
HOVIDSV | TAGMFast | |
Likelihood(const bool DoParallel=false) | TAGMFast | |
LikelihoodForOneVar(const TFltV &AlphaKV, const int UID, const int CID, const double &Val) | TAGMFast | |
LikelihoodForRow(const int UID) | TAGMFast | |
LikelihoodForRow(const int UID, const TIntFltH &FU) | TAGMFast | |
LikelihoodHoldOut(const bool DoParallel=false) | TAGMFast | |
Load(TSIn &SIn, const int &RndSeed=0) | TAGMFast | |
MaxVal | TAGMFast | |
MinVal | TAGMFast | |
MLEGradAscent(const double &Thres, const int &MaxIter, const TStr PlotNm, const double StepAlpha=0.3, const double StepBeta=0.1) | TAGMFast | |
MLEGradAscentParallel(const double &Thres, const int &MaxIter, const int ChunkNum, const int ChunkSize, const TStr PlotNm, const double StepAlpha=0.3, const double StepBeta=0.1) | TAGMFast | |
MLEGradAscentParallel(const double &Thres, const int &MaxIter, const int ChunkNum, const TStr PlotNm=TStr(), const double StepAlpha=0.3, const double StepBeta=0.1) | TAGMFast | [inline] |
MLENewton(const double &Thres, const int &MaxIter, const TStr PlotNm=TStr()) | TAGMFast | |
NegWgt | TAGMFast | |
NeighborComInit(const int InitComs) | TAGMFast | |
NIDV | TAGMFast | [private] |
NodesOk | TAGMFast | [private] |
Norm2(const TIntFltH &UV) | TAGMFast | [inline] |
NumComs | TAGMFast | [private] |
PNoCom | TAGMFast | |
Prediction(const TIntFltH &FU, const TIntFltH &FV) | TAGMFast | [inline] |
Prediction(const int &UID, const int &VID) | TAGMFast | [inline] |
RandomInit(const int InitComs) | TAGMFast | |
RegCoef | TAGMFast | [private] |
Rnd | TAGMFast | [private] |
Save(TSOut &SOut) | TAGMFast | |
SetCmtyVV(const TVec< TIntV > &CmtyVV) | TAGMFast | |
SetGraph(const PUNGraph &GraphPt) | TAGMFast | |
SetRegCoef(const double _RegCoef) | TAGMFast | [inline] |
Sum(const TIntFltH &UV) | TAGMFast | [inline] |
SumFV | TAGMFast | [private] |
TAGMFast(const PUNGraph &GraphPt, const int &InitComs, const int RndSeed=0) | TAGMFast | [inline] |