KernelTraits< CosineDistance > Class Template Reference
Kernel traits for the cosine distance. More...
Static Public Attributes | |
| static const bool | IsNormalized = true |
| The cosine kernel is normalized: K(x, x) = 1 for all x. More... | |
| static const bool | UsesSquaredDistance = false |
| The cosine kernel doesn't include a squared distance. More... | |
Detailed Description
template<>
class mlpack::kernel::KernelTraits< CosineDistance >
Kernel traits for the cosine distance.
Definition at line 51 of file cosine_distance.hpp.
Member Data Documentation
◆ IsNormalized
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static |
The cosine kernel is normalized: K(x, x) = 1 for all x.
Definition at line 55 of file cosine_distance.hpp.
◆ UsesSquaredDistance
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static |
The cosine kernel doesn't include a squared distance.
Definition at line 58 of file cosine_distance.hpp.
The documentation for this class was generated from the following file:
- /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.4.2/src/mlpack/core/kernels/cosine_distance.hpp