Classes | |
| class | BLEU |
| BLEU, or the Bilingual Evaluation Understudy, is an algorithm for evaluating the quality of text which has been machine translated from one natural language to another. More... | |
| class | IoU |
| Definition of Intersection over Union metric. More... | |
| class | IPMetric |
| The inner product metric, IPMetric, takes a given Mercer kernel (KernelType), and when Evaluate() is called, returns the distance between the two points in kernel space: More... | |
| class | LMetric |
| The L_p metric for arbitrary integer p, with an option to take the root. More... | |
| class | MahalanobisDistance |
| The Mahalanobis distance, which is essentially a stretched Euclidean distance. More... | |
| class | NMS |
| Definition of Non Maximal Supression. More... | |
Typedefs | |
| typedef LMetric< INT_MAX, false > | ChebyshevDistance |
| The L-infinity distance. More... | |
| typedef LMetric< 2, true > | EuclideanDistance |
| The Euclidean (L2) distance. More... | |
| typedef LMetric< 1, false > | ManhattanDistance |
| The Manhattan (L1) distance. More... | |
| typedef LMetric< 2, false > | SquaredEuclideanDistance |
| The squared Euclidean (L2) distance. More... | |
Typedef Documentation
◆ ChebyshevDistance
| typedef LMetric<INT_MAX, false> ChebyshevDistance |
The L-infinity distance.
Definition at line 117 of file lmetric.hpp.
◆ EuclideanDistance
| typedef LMetric<2, true> EuclideanDistance |
The Euclidean (L2) distance.
Definition at line 112 of file lmetric.hpp.
◆ ManhattanDistance
| typedef LMetric<1, false> ManhattanDistance |
The Manhattan (L1) distance.
Definition at line 101 of file lmetric.hpp.
◆ SquaredEuclideanDistance
| typedef LMetric<2, false> SquaredEuclideanDistance |
The squared Euclidean (L2) distance.
Note that this is not technically a metric! But it can sometimes be used when distances are required.
Definition at line 107 of file lmetric.hpp.