semiArtificial-package: Generation and evaluation of semi-artificial data

Description Details Author(s) References See Also

Description

The package semiArtificial contains methods to generate and evaluate semi-artificial data sets. Different data generators take a data set as an input, learn its properties using machine learning algorithms and generates new data with the same properties.

Details

The package currently includes the following data generators:

Data evaluation support tools include:

Further software and development versions are available at http://lkm.fri.uni-lj.si/rmarko/software/.

Author(s)

Marko Robnik-Sikonja

References

Marko Robnik-Sikonja: Not enough data? Generate it!. Technical Report, University of Ljubljana, Faculty of Computer and Information Science, 2014

Other references are available from http://lkm.fri.uni-lj.si/rmarko/papers/

See Also

rbfDataGen, treeEnsemble, newdata, dataSimilarity, dsClustCompare, performanceCompare.


semiArtificial documentation built on Sept. 24, 2021, 1:07 a.m.