A Fast and Scalable Exhaustive Feature Selection Framework

The goal of this package is to provide an easy to use, fast and scalable exhaustive search framework. Exhaustive feature selections typically require a very large number of models to be fitted and evaluated. Execution speed and memory management are crucial factors here. This package provides solutions for both. Execution speed is optimized by using a multi-threaded C++ backend, and memory issues are solved by by only storing the best results during execution and thus keeping memory usage constant.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.1 by Rudolf Jagdhuber, a year ago


Report a bug at https://github.com/RudolfJagdhuber/ExhaustiveSearch/issues

Browse source code at https://github.com/cran/ExhaustiveSearch

Authors: Rudolf Jagdhuber [aut, cre] , Jorge Nocedal [cph] (lbfgs c library) , Naoaki Okazaki [cph] (lbfgs c library)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp

Suggests mlbench

Linking to Rcpp, RcppArmadillo

See at CRAN