Man page - mlpack_preprocess_one_hot_encoding(1)
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Manual
mlpack_preprocess_one_hot_encoding
NAMESYNOPSIS
DESCRIPTION
REQUIRED INPUT OPTIONS
OPTIONAL INPUT OPTIONS
OPTIONAL OUTPUT OPTIONS
ADDITIONAL INFORMATION
NAME
mlpack_preprocess_one_hot_encoding - one hot encoding
SYNOPSIS
mlpack_preprocess_one_hot_encoding -i string [ -d vector ] [ -V bool ] [ -o unknown ] [ -h -v ]
DESCRIPTION
This utility takes a dataset and a vector of indices and does one-hot encoding of the respective features at those indices. Indices represent the IDs of the dimensions to be one-hot encoded.
If no dimensions are specified with ’ --dimensions ( -d )’, then all categorical-type dimensions will be one-hot encoded. Otherwise, only the dimensions given in ’ --dimensions ( -d )’ will be one-hot encoded.
The output matrix with encoded features may be saved with the ’ --output_file ( -o )’ parameters.
So, a simple example where we want to encode 1st and 3rd feature from dataset ’X.csv’ into ’X_output.csv’ would be
$ mlpack_preprocess_one_hot_encoding --input_file X.arff --output_file X_ouput.csv --dimensions 1 --dimensions 3
REQUIRED INPUT OPTIONS
--input_file (-i) [ string ]
Matrix containing data.
OPTIONAL INPUT OPTIONS
--dimensions (-d) [ vector ]
Index of dimensions that need to be one-hot encoded (if unspecified, all categorical dimensions are one-hot encoded). Default value [].
--help (-h) [ bool ]
Default help info.
--info [ string ]
Print help on a specific option. Default value ’’.
--verbose (-v) [ bool ]
Display informational messages and the full list of parameters and timers at the end of execution.
--version (-V) [ bool ]
Display the version of mlpack.
OPTIONAL OUTPUT OPTIONS
--output_file ( -o ) [ unknown ] Matrix to save one-hot encoded features data to.
ADDITIONAL INFORMATION
For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your distribution of mlpack.