|
Classes |
| class | HistogramIntersectionFtor |
| class | KullbackDivergenceFtor |
| | KL(v1||v2). More...
|
| class | VectorSet |
| class | VectorTem |
| | Class definition for vector of arbitrary number of elements, each represented by an ElemT. More...
|
| class | WeibullSimFtor |
| | Functor to compute similarity assuming vectors contain only beta and gamma. More...
|
Typedefs |
| typedef VectorTem< Real64 > | VectorReal64 |
| typedef VectorSet< Array::Array2dScalarReal64 > | ColumnVectorSet |
Functions |
| template<class ElemT> |
| void | AddAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| | Add 2 vectors.
|
| template<class ElemT> |
| void | AddAssign (VectorTem< ElemT > &v, ElemT e) |
| template<class ArrayT> |
| void | AddAssign (VectorSet< ArrayT > *dst, VectorSet< ArrayT > *src, int dstStart, int srcStart, int nr) |
| | Add nr vectors from src starting at srcStart to those in dst starting at dstStart.
|
| Matrix::Mat * | Apply (double(*fn)(const VectorTem< double > &, const VectorTem< double > &), const VectorSet< Array::Array2dScalarReal64 > *horizontal, const VectorSet< Array::Array2dScalarReal64 > *vertical) |
| | apply a function to two vector sets, resulting in a matrix
|
| void | Kernelise (VectorTem< double > *dst, VectorTem< double > src, const VectorSet< Array::Array2dScalarReal64 > *set, double(*fn)(const VectorTem< double > &, const VectorTem< double > &)) |
| template<class ArrayT, class SimFtorT> |
| Real64 | AverageSimilarity (typename VectorSet< ArrayT >::VectorT example, VectorSet< ArrayT > *src, int end, SimFtorT simFunc) |
| template<class ArrayT> |
| void | Avg (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int startIdx, int stepSize, int nrSteps) |
| template<class ArrayT> |
| void | Avg (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int size, bool *filter) |
| template<class ArrayT> |
| void | Clear (VectorSet< ArrayT > *vs) |
| template<class ElemT> |
| VectorTem< ElemT > | Concat (VectorTem< ElemT > v1, VectorTem< ElemT > v2) |
| template<class ArrayT> |
| VectorSet< ArrayT >::VectorT | Concat (VectorSet< ArrayT > *src) |
| template<class ElemT> |
| void | DivAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| template<class ElemT> |
| void | DivAssign (VectorTem< ElemT > &v, ElemT e) |
| template<class ElemT> |
| ElemT | ElemAvg (VectorTem< ElemT > v, bool *filter1, bool *filter2, int maxNr=-1) |
| template<class ElemT> |
| ElemT | ElemMax (VectorTem< ElemT > v) |
| template<class ElemT> |
| ElemT | ElemMin (VectorTem< ElemT > v) |
| template<class ArrayT> |
| void | HistogramAccumulation (VectorSet< ArrayT > *vs, bool doNormalizeHeight, bool doNormalizeWeight, bool *filter) |
| | Treat vectors as histograms and turn them into cumulative histograms.
|
| template<class ElemT> |
| ElemT | HistogramIntersection (const VectorTem< ElemT > &v1, const VectorTem< ElemT > &v2) |
| template<class ElemT> |
| Real64 | HistogramIntersection2 (VectorTem< ElemT > v1, VectorTem< ElemT > v2) |
| template<class ArrayT> |
| void | HistogramNormalization (VectorSet< ArrayT > *vs, bool normWeight, bool *filter) |
| template<class ElemT> |
| ElemT | KullbackDivergence (const VectorTem< ElemT > &v1, const VectorTem< ElemT > &v2) |
| | KL(v1||v2).
|
| template<class ArrayT> |
| void | Max (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int startIdx, int stepSize, int nrSteps) |
| template<class ArrayT> |
| void | Max (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int size, bool *filter) |
| template<class ElemT> |
| void | MaxAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| template<class ArrayT> |
| void | Min (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int startIdx, int stepSize, int nrSteps) |
| template<class ArrayT> |
| void | Min (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int size, bool *filter) |
| template<class ElemT> |
| void | MinAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| template<class ArrayT, class SimFtorT> |
| Real64 | MinimumSimilarity (typename VectorSet< ArrayT >::VectorT example, VectorSet< ArrayT > *src, int end, SimFtorT simFunc) |
| template<class ElemT> |
| void | MulAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| template<class ElemT> |
| void | MulAssign (VectorTem< ElemT > &v, ElemT e) |
| template<class ElemT> |
| Real64 | Norm1Dist (const VectorTem< ElemT > &v1, const VectorTem< ElemT > &v2) |
| template<class ElemT> |
| Real64 | Norm2DistSqr (VectorTem< ElemT > &v1, VectorTem< ElemT > &v2) |
| template<class ElemT> |
| Real64 | Norm2Dist (VectorTem< ElemT > &v1, VectorTem< ElemT > &v2) |
| template<class ArrayT> |
| void | NormalizationMax (VectorSet< ArrayT > *vs) |
| | Normalize vectors in set by division with maximum.
|
| template<class ElemT> |
| void | OutProduct (VectorTem< ElemT > *&dst, VectorTem< ElemT > &v1, VectorTem< ElemT > &v2) |
| | outer product of 2 vectors.
|
| template<class ArrayT, class SimFtorT> |
| Real64 | RadiusSimilarity (typename VectorSet< ArrayT >::VectorT example, VectorSet< ArrayT > *src, Real64 radius, int end, SimFtorT simFunc) |
| | Count the number of elements in src that are within the radius of example.
|
| template<class ArrayT> |
| void | SetPart (VectorSet< ArrayT > *dst, VectorSet< ArrayT > *src, int dstColumn) |
| template<class ArrayT> |
| void | SetPart (VectorSet< ArrayT > *dst, VectorSet< ArrayT > *src, int srcColumn, int nrColumn, int dstColumn) |
| template<class ArrayT, class SimFuncT> |
| Real64 | Similarity (VectorSet< ArrayT > *example, VectorSet< ArrayT > *src, int exStartIdx, int srcStartIdx, int setSize, SimFuncT simFunc) |
| | Compute similarity of setSize vectors starting at exStartIdx of the example set to the vectors of src starting at srcStartIdx.
|
| template<class ArrayT, class SimFuncT> |
| void | Similarity (Real64 *dst, typename VectorSet< ArrayT >::VectorT example, VectorSet< ArrayT > *src, bool *filter, int subSetSize, SimFuncT simFunc) |
| | Compute similarity of example vector to each subset of src unless a filter is given indicating which subsets should be skipped.
|
| template<class ArrayT, class SimFuncT> |
| void | Similarity (VectorTem< Real64 > *dst, VectorSet< ArrayT > *example, VectorSet< ArrayT > *src, bool *filter, int subSetSize, int subSubSetSize, int activeSubSubSet, bool doMax, SimFuncT simFunc) |
| | Compute similarity of example vector set to all (sub)subsets of src unless a filter is given indicating which subsets should be skipped.
|
| template<class ElemT> |
| void | SubAssign (VectorTem< ElemT > &v1, VectorTem< ElemT > v2) |
| | Add 2 vectors.
|
| template<class ElemT> |
| void | SubAssign (VectorTem< ElemT > &v, ElemT e) |
| template<class ElemT> |
| ElemT | Sum (VectorTem< ElemT > v) |
| template<class ArrayT> |
| void | Sum (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int startIdx, int stepSize, int nrSteps) |
| template<class ArrayT> |
| void | Sum (typename VectorSet< ArrayT >::VectorT *dst, VectorSet< ArrayT > *src, int size, bool *filter) |
| template<class ElemT> |
| VectorTem< ElemT > | Append (const VectorTem< ElemT > &v1, const VectorTem< ElemT > &v2) |
| template<class ElemT> |
| std::ostream & | operator<< (std::ostream &os, const VectorTem< ElemT > &v) |
| template<class ElemT> |
| VectorTem< ElemT > | operator * (const VectorTem< ElemT > &a, ElemT b) |
| template<class ElemT> |
| VectorTem< ElemT > | operator * (ElemT a, const VectorTem< ElemT > &b) |
| template<class ElemT> |
| ElemT | operator * (const VectorTem< ElemT > &a, const VectorTem< ElemT > &b) |
| Real64 | WeibullSim (Real64 b1, Real64 g1, Real64 b2, Real64 g2) |
| | Compute weibull similarity between two beta,gamma pairs.
|
| template<class ElemT> |
| Real64 | WeibullSim (const VectorTem< ElemT > &v1, const VectorTem< ElemT > &v2) |
| | Compute similarity assuming vectors contain only beta and gamma.
|
