Feature Selection Toolbox FST4
UTIA · Czech Academy of Sciences
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search.hpp File Reference

Defines interface for search method implementations. More...

#include <memory>
#include <iostream>
#include <sstream>
#include <string>
#include <ctime>
#include "error.hpp"
#include "global.hpp"
#include "result_tracker.hpp"

Go to the source code of this file.

Classes

class  FST::msgbuf
 Message accumulator for Search::report() - collects one progress message exactly as an std::ostringstream would, for delivery either to an attached Search_Observer or to the search's output stream. More...
class  FST::Search_Observer< RETURNTYPE, SUBSET >
 Observer interface for search progress reporting. More...
class  FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
 abstract class, defines interface for search method implementations 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.

Functions

template<class RETURNTYPE, typename DIMTYPE, class SUBSET, class CRITERION>
std::ostream & FST::operator<< (std::ostream &os, const Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION > &sr)
 Streams a search's print() to os.

Detailed Description

Defines interface for search method implementations.

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Feature Selection Toolbox 4 source code

Author
Petr Somol (somol.nosp@m.@uti.nosp@m.a.cas.nosp@m..cz) 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
March 2011 (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),
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).
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