mlpack::kernel::CosineDistance Class Reference

The cosine distance (or cosine similarity). More...

#include <cosine_distance.hpp>

Public Member Functions
template<typename Archive >
void	serialize (Archive &, const uint32_t)
	Serialize the class (there's nothing to save).

Static Public Member Functions
template<typename VecTypeA , typename VecTypeB >
static double	Evaluate (const VecTypeA &a, const VecTypeB &b)
	Computes the cosine distance between two points. More...

Detailed Description

The cosine distance (or cosine similarity).

It is defined by

\[ d(a, b) = \frac{a^T b}{|| a || || b ||} \]

and this class assumes the standard L2 inner product.

Member Function Documentation

Evaluate()

template<typename VecTypeA , typename VecTypeB >

double mlpack::kernel::CosineDistance::Evaluate ( const VecTypeA &  a, const VecTypeB &  b  )

static

Computes the cosine distance between two points.

Parameters

a	First vector.
b	Second vector.

Returns

d(a, b).

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The documentation for this class was generated from the following files:

• src/mlpack/core/kernels/cosine_distance.hpp
• src/mlpack/core/kernels/cosine_distance_impl.hpp