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mfe  

Meta-Feature Extractor
View on CRAN: Click here


Download and install mfe package within the R console
Install from CRAN:
install.packages("mfe")

Install from Github:
library("remotes")
install_github("cran/mfe")

Install by package version:
library("remotes")
install_version("mfe", "0.1.5")



Attach the package and use:
library("mfe")
Maintained by
Adriano Rivolli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-31
Latest Update: 2023-03-11
Description:
Extracts meta-features from datasets to support the design ofrecommendation systems based on Meta-Learning. The meta-features also calledcharacterization measures are able to characterize the complexity of datasetsand to provide estimates of algorithm performance. The package contains notonly the standard characterization measures but also more recentcharacterization measures. By making available a large set of meta-featureextraction functions tasks like comprehensive data characterization deepdata exploration and large number of Meta-Learning based data analysis can beperformed. These concepts are described in the paper Rivolli A. Garcia L.Soares c. Vanschoren J. and Carvalho A. 2018 arXiv1808.10406.
How to cite:
Adriano Rivolli (2017). mfe: Meta-Feature Extractor. R package version 0.1.5, https://cran.r-project.org/web/packages/mfe. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2017-01-31 14:16), 0.1.1 (2018-06-29 23:23), 0.1.2 (2019-04-10 06:22), 0.1.3 (2019-08-27 00:20), 0.1.4 (2019-12-16 21:10), 0.1.5 (2020-05-05 17:20)
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