data_file_CSV.hpp File Reference

Enables data accessor objects to read CSV (delimited text, e.g. Excel export) data files. More...

#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <string>
#include <vector>
#include <iostream>
#include "error.hpp"
#include "global.hpp"

Go to the source code of this file.

Classes
struct	FST::Data_File_CSV_Options
	CSV loader options. More...
class	FST::Data_File_CSV
	CSV (delimited text) data format filter — the simplest spreadsheet-to-FST4 path. 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.

Detailed Description

Enables data accessor objects to read CSV (delimited text, e.g. Excel export) data files.

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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

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.

Warning

Please note that this code plays only supportive role and does not represent coding standards followed in core FST4 codes.