CSparsePreProc< ST > Class Template Reference

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Detailed Description

template<class ST>
class shogun::CSparsePreProc< ST >

Template class SparsePreProc, base class for preprocessors (cf. CPreProc) that apply to CSparseFeatures.

Two new functions apply_to_sparse_feature_vector() and apply_to_sparse_feature_matrix() are defined in this interface that need to be implemented in each particular preprocessor operating on CSparseFeatures.

Definition at line 33 of file SparsePreProc.h.

Inheritance diagram for CSparsePreProc< ST >:

List of all members.

Public Member Functions
	CSparsePreProc (const char *name, const char *id)
virtual TSparse< ST > *	apply_to_sparse_feature_matrix (CSparseFeatures< ST > *f)=0
virtual TSparse< ST > *	apply_to_sparse_feature_vector (TSparse< ST > *f, int32_t &len)=0
virtual EFeatureClass	get_feature_class ()
	return that we are simple minded features (just fixed size matrices)

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Constructor & Destructor Documentation

CSparsePreProc	(	const char *	name,
		const char *	id
	)

constructor

Parameters:

	name	sparse preprocessor's name
	id	sparse preprocessor's id

Definition at line 41 of file SparsePreProc.h.

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Member Function Documentation

virtual TSparse<ST>* apply_to_sparse_feature_matrix

(

CSparseFeatures< ST > *

f

)

[pure virtual]

apply preproc on feature matrix result in feature matrix return pointer to feature_matrix, i.e. f->get_feature_matrix();

virtual TSparse<ST>* apply_to_sparse_feature_vector	(	TSparse< ST > *	f,
		int32_t &	len
	)			[pure virtual]

apply preproc on single feature vector result in feature matrix

virtual EFeatureClass get_feature_class

(

)

[virtual]

return that we are simple minded features (just fixed size matrices)

Implements CPreProc.

Definition at line 55 of file SparsePreProc.h.

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

• SparsePreProc.h