result_weighter_sampled.hpp File Reference

Online per-feature statistics for budgeted (sampled) sequential steps — discounted batch-standardized DAF contrast. More...

#include <memory>
#include <vector>
#include <mutex>
#include <cmath>
#include <cassert>
#include <sstream>
#include <algorithm>
#include "error.hpp"
#include "global.hpp"

Go to the source code of this file.

Classes
class	FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
	Online per-feature statistics for budgeted (sampled) sequential steps — discounted batch-standardized DAF contrast. More...
struct	FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::FeatureStat
	Per-feature accumulators, one instance per feature index, updated by flush_batch(). m_is/m_isnot are adaptive-rate running means of the batch z-score, one side for evaluations in which the feature was selected ('is') and one for evaluations in which it was not ('isnot'); score() in STATS_ZCONTRAST mode returns their difference. raw_sum_is/raw_cnt_is accumulate the STATS_RAWMEAN statistic instead. n_is/n_isnot count how many evaluations landed on each side — also the exploration counts exposed via count_is()/count_isnot(). More...
struct	FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::BatchEntry
	One buffered, not-yet-flushed criterion evaluation: its raw value, the cardinality of the evaluated subset, and the list of selected feature indices — everything flush_batch() needs to z-standardize the batch and fold it into the accumulators. 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

Online per-feature statistics for budgeted (sampled) sequential steps — discounted batch-standardized DAF contrast.

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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. Ready-to-run SVM examples: demos/demo12t.cfg, demo23.cfg, demo25t.cfg and demo32t.cfg (configurations of the fst4 command-line tool).