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readMLData (version 0.9-7)

Reading Machine Learning Benchmark Data Sets in Different Formats

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.

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Version

Install

install.packages('readMLData')

Monthly Downloads

134

Version

0.9-7

License

GPL-3

Maintainer

Petr Savicky

Last Published

January 13th, 2015

Functions in readMLData (0.9-7)

getFields

Prints the information on the fields in the data frame dsList describing the data sets.
dsDownload

Run an external tool to download a data set.
xml

Handling XML files.
readMLData-package

Reading data from different sources in their original format.
dsSort

Sort the rows of a data frame.
checkConsistency

Checks consistency of the data frame dsList.
analyzeData

Determine the type of values in each column of a data frame.
dsSearch

Search a dataset by string matching against the names stored in dsList.
checkType

Compares the type of columns stored in dsList and in a data set itself.
getPath

Determine the path to package example directories.
prepareDSList

Prepares a data frame dsList, which describes the data contained in a local data description directory.
dsRead

Loading machine learning data from a directory tree using a unified interface.
getAvailable

Checks consistency of the data frame dsList.
getType

Determines the type vector for an input data set.