Inheritance diagram for faiss::LinearTransform:

Public Member Functions
	LinearTransform (int d_in=0, int d_out=0, bool have_bias=false)
	both d_in > d_out and d_out < d_in are supported

virtual void	apply_noalloc (idx_t n, const float x, float xt) const
	same as apply, but result is pre-allocated

void	transform_transpose (idx_t n, const float y, float x) const

const float *	maybe_subsample_train_set (Index::idx_t n, const float x)

Public Member Functions inherited from faiss::VectorTransform
	VectorTransform (int d_in=0, int d_out=0)
	! output dimension

virtual void	train (idx_t n, const float *x)

float *	apply (idx_t n, const float *x) const

virtual void	reverse_transform (idx_t n, const float xt, float x) const

Public Attributes
bool	have_bias

std::vector< float >	A
	! whether to use the bias term More...

std::vector< float >	b
	bias vector, size d_out

size_t	max_points_per_d

bool	verbose

Public Attributes inherited from faiss::VectorTransform
int	d_in

int	d_out
	! input dimension

bool	is_trained

Additional Inherited Members
Public Types inherited from faiss::VectorTransform
typedef Index::idx_t	idx_t

Detailed Description

Generic linear transformation, with bias term applied on output y = A * x + b

Definition at line 78 of file VectorTransform.h.

Member Function Documentation

void LinearTransform::transform_transpose	(	idx_t	n,
		const float *	y,
		float *	x
	)		const

compute x = A^T * (x - b) is reverse transform if A has orthonormal lines

Definition at line 130 of file VectorTransform.cpp.

std::vector<float> faiss::LinearTransform::A

! whether to use the bias term

Transformation matrix, size d_out * d_in

Definition at line 84 of file VectorTransform.h.

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