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.
|Date of publication||2015-01-13 12:10:48|
|Maintainer||Petr Savicky <email@example.com>|
analyzaData: Determine the type of values in each column of a data frame.
checkConsistency: Checks consistency of the data frame 'dsList'.
checkType: Compares the type of columns stored in 'dsList' and in a data...
dsDownload: Run an external tool to download a data set.
dsRead: Loading machine learning data from a directory tree using a...
dsSearch: Search a dataset by string matching against the names stored...
dsSort: Sort the rows of a data frame.
getAvailable: Checks consistency of the data frame 'dsList'.
getFields: Prints the information on the fields in the data frame...
getPath: Determine the path to package example directories.
getType: Determines the type vector for an input data set.
prepareDSList: Prepares a data frame 'dsList', which describes the data...
readMLData-package: Reading data from different sources in their original format.
xml: Handling XML files.