regressor_weighted_neighbours.hpp File Reference

Experimental regressor, produces weighted average of the predicted variable over neighbours, weighted by distance. More...

#include <memory>
#include <cassert>
#include <iostream>
#include <cmath>
#include <list>
#include "regressor.hpp"
#include "error.hpp"
#include "global.hpp"

Go to the source code of this file.

Classes
class	FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
	Implements experimental regressor that produces weighted average of the predicted variable over neighbours, weighted by distance. More...

Namespaces
namespace	FST
	The Feature Selection Toolbox 4 library: every library component – data access, criteria and classifiers, search algorithms, result trackers and the global infrastructure – lives in this namespace.

Macros
#define	M_PI   3.14159265358979323846
	value of pi; POSIX <cmath> extension, provided here as a fallback since strict C++17 does not guarantee it

Detailed Description

Experimental regressor, produces weighted average of the predicted variable over neighbours, weighted by distance.

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Feature Selection Toolbox 4 source code

Author

Pavel Pudil (pudil.nosp@m.@fm..nosp@m.vse.c.nosp@m.z) with collaborators, see Contacts at https://fst.utia.cz

Version 4 was developed with Anthropic Claude models as coding assistants: Claude Fable 5 for the 2026 development (with minor contributions by Claude Opus 5), Claude Fable 5.1 for the pre-publication reviews of the full codebase, and Claude Opus 4.5 for the December 2025 audit of the FST3 codebase; design, decisions, review and acceptance are human work

Date

2012 (last updated July 2026)

Version

4.2.0

Note

FST4 was developed using MinGW-W64 g++ 15.2 and requires

• a C++17 conforming compiler and standard library (no Boost, unlike FST3),

• (optionally) LibSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/, version 3.37; not distributed with FST4 — drop svm.cpp/svm.h into ./libsvm/, see libsvm/readme.txt)

Note that LibSVM is required for SVM related tools only. Ready-to-run SVM examples: demos/demo12t.cfg, demo23.cfg, demo25t.cfg and demo32t.cfg (configurations of the fst4 command-line tool).