semiArtificial: Generator of Semi-Artificial Data

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Package semiArtificial contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generator: -a RBF network based generator using rbfDDA from RSNNS package, -a Random Forest based generator for both classification and regression problems -a density forest based generator for unsupervised data Data evaluation support tools include: -single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance -evaluation based on clustering using Adjusted Rand Index (ARI) and FM -evaluation based on classification performance with various learning models, eg, random forests.

Author
Marko Robnik-Sikonja
Date of publication
2015-09-04 01:11:01
Maintainer
Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>
License
GPL-3
Version
2.0.1
URLs

View on CRAN

Man pages

ariCompare
Evaluate clustering similarity of two data sets
dataSimilarity
Evaluate statistical similarity of two data sets
newdata
Generate semi-artificial data using a generator
performanceCompare
Evaluate similarity of two data sets based on predictive...
rbfDataGen
A data generator based on RBF network
semiArtificial-package
Generation and evaluation of semi-artificial data
treeEnsemble
A data generator based on forest

Files in this package

semiArtificial
semiArtificial/NAMESPACE
semiArtificial/R
semiArtificial/R/rndtrees.R
semiArtificial/R/dataQuality.R
semiArtificial/R/densityTree.R
semiArtificial/R/init.R
semiArtificial/R/rbfDataGen.R
semiArtificial/R/forestDataGen.R
semiArtificial/R/misc.R
semiArtificial/MD5
semiArtificial/DESCRIPTION
semiArtificial/ChangeLog
semiArtificial/man
semiArtificial/man/ariCompare.Rd
semiArtificial/man/newdata.Rd
semiArtificial/man/semiArtificial-package.Rd
semiArtificial/man/treeEnsemble.Rd
semiArtificial/man/rbfDataGen.Rd
semiArtificial/man/dataSimilarity.Rd
semiArtificial/man/performanceCompare.Rd