Loading [MathJax]/extensions/TeX/newcommand.js
\newcommand{\E}{\mathrm{E}} \newcommand{\A}{\mathrm{A}} \newcommand{\R}{\mathrm{R}} \newcommand{\N}{\mathrm{N}} \newcommand{\Q}{\mathrm{Q}} \newcommand{\Z}{\mathrm{Z}} \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }
CGAL 5.0 - Classification
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CGAL::Classification::Classifier Concept Reference
Classification Reference » Concepts

Definition

Concept describing a classifier used by classification functions (see CGAL::Classification::classify(), CGAL::Classification::classify_with_local_smoothing() and CGAL::Classification::classify_with_graphcut()).

Has Models:

CGAL::Classification::Sum_of_weighted_features_classifier

CGAL::Classification::ETHZ::Random_forest_classifier

CGAL::Classification::OpenCV::Random_forest_classifier

CGAL::Classification::TensorFlow::Neural_network_classifier

Public Member Functions

void operator() (std::size_t item_index, std::vector< float > &out) const
 Computes for each label indexed from 0 to out.size(), the probability (between 0 and 1) that the item at item_index belongs to this label.