Description Usage Arguments Value See Also Examples
Reads a multilabel dataset from an ARFF file in Mulan or MEKA and retrieves instances distinguishing attributes corresponding to labels
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filename |
Name of the dataset |
use_xml |
Specifies whether to use an associated XML file to identify the labels. Defaults to TRUE |
auto_extension |
Specifies whether to add the '.arff' and '.xml' extensions to the filename where appropriate. Defaults to TRUE |
xml_file |
Path to the XML file. If not provided, the filename ending in ".xml" will be assumed |
label_indices |
Optional vector containing the indices of the attributes that should be read as labels |
label_names |
Optional vector containing the names of the attributes that should be read as labels |
label_amount |
Optional parameter indicating the number of labels in the dataset, which will be taken from the last attributes of the dataset |
... |
Extra parameters that will be passed to the parsers. Currently
only the option |
A list containing four members: dataframe
containing the dataset,
labelIndices
specifying the indices of the attributes that correspond to
labels, attributes
containing name and type of each attribute and name
of
the dataset.
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