mfe (0.1.1)

0 users

Meta-Feature Extractor.

Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to provide estimates of algorithm performance. The package contains not only the standard characterization measures, but also more recent characterization measures. By making available a large set of meta-feature extraction functions, tasks like comprehensive data characterization, deep data exploration and large number of Meta-Learning based data analysis can be performed. These concepts are described in the paper: Fabio Pinto, Carlos Soares, and Joao Mendes-Moreira. Towards automatic generation of metafeatures. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 215 - 226, 2016, .

Maintainer: Adriano Rivolli
Author(s): Adriano Rivolli [aut, cre], Luis P. F. Garcia [aut], Andre C. P. L. F. de Carvalho [ths]

License: GPL | file LICENSE

Uses: cluster, e1071, infotheo, MASS, rpart, rrcov, testthat, knitr, rmarkdown

Released about 1 month ago.

1 previous version



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of mfe yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for mfe on google, google scholar, r-help, r-devel.

Visit mfe on R Graphical Manual.