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readMLData
View on CRAN: Click
here
Download and install readMLData package within the R console
Install from CRAN:
install.packages("readMLData")
Install from Github:
library("remotes")
install_github("cran/readMLData")
Install by package version:
library("remotes")
install_version("readMLData", "0.9-7")
Attach the package and use:
library("readMLData")
Maintained by
Petr Savicky
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.readMLData . http://www.cs.cas.cz/~savicky/readMLData . readMLData results . readMLData.pdf . readMLData_0.9-7.tar.gz . readMLData_0.9-7.zip . readMLData_0.9-7.zip . readMLData_0.9-7.zip . readMLData_0.9-7.tgz . readMLData_0.9-7.tgz . readMLData_0.9-7.tgz . readMLData_0.9-7.tgz . readMLData_0.9-7.tgz . readMLData_0.9-7.tgz . readMLData archive . https://CRAN.R-project.org/package=readMLData .
First Published: 2012-01-31
Latest Update: 2015-01-13
Description:
Functions for reading data sets in different formats
for testing machine learning tools are provided. This allows to run
a loop over several data sets in their original form, for example
if they are downloaded from UCI Machine Learning Repository.
The data are not part of the package and have to be downloaded
separately.
How to cite:
Petr Savicky (2012). readMLData: Reading Machine Learning Benchmark Data Sets in Different Formats. R package version 0.9-7, https://cran.r-project.org/web/packages/readMLData. Accessed 26 Mar. 2025.
Previous versions and publish date:
Other packages that cited readMLData R package
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Other R packages that readMLData depends,
imports, suggests or enhances
Complete documentation for readMLData
Functions, R codes and Examples using
the readMLData R package
Some associated functions: analyzaData . checkConsistency . checkType . dsDownload . dsRead . dsSearch . dsSort . getAvailable . getFields . getPath . getType . prepareDSList . readMLData-package . xml .
Some associated R codes: XML.R . check.R . functions.R . utils.R . Full readMLData package functions and examples
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