1mlpack_preprocess_binarize(1)General Commands Manuamllpack_preprocess_binarize(1)
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6 mlpack_preprocess_binarize - binarize data
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9 mlpack_preprocess_binarize [-h] [-v]
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12 This utility takes a dataset and binarizes the variables into either 0
13 or 1 given threshold. User can apply binarization on a dimension or the
14 whole dataset. A dimension can be specified using --dimension (-d)
15 option. Threshold can also be specified with the --threshold (-t)
16 option; The default is 0.0.
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18 The program does not modify the original file, but instead makes a sep‐
19 arate file to save the binarized data; The program requires you to
20 specify the file name with --output_file (-o).
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22 For example, if we want to make all variables greater than 5 in dataset
23 to 1 and ones that are less than or equal to 5.0 to 0, and save the
24 result to result.csv, we could run
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26 $ mlpack_preprocess_binarize -i dataset.csv -t 5 -o result.csv
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28 But if we want to apply this to only the first (0th) dimension of the
29 dataset, we could run
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31 $ mlpack_preprocess_binarize -i dataset.csv -t 5 -d 0 -o result.csv
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34 --input_file (-i) [string]
35 File containing data.
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38 --dimension (-d) [int]
39 Dimension to apply the binarization. If not set, the program
40 will binarize every dimension by default. Default value 0.
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42 --help (-h)
43 Default help info.
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45 --info [string]
46 Get help on a specific module or option. Default value ''.
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48 --threshold (-t) [double]
49 Threshold to be applied for binarization. If not set, the
50 threshold defaults to 0.0. Default value 0.
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52 --verbose (-v)
53 Display informational messages and the full list of parameters
54 and timers at the end of execution.
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56 --version (-V)
57 Display the version of mlpack.
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60 --output_file (-o) [string]
61 File to save the output. Default value ''.
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65 For further information, including relevant papers, citations, and the‐
66 ory, For further information, including relevant papers, citations, and
67 theory, consult the documentation found at http://www.mlpack.org or
68 included with your consult the documentation found at
69 http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK.
70 DISTRIBUTION OF MLPACK.
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74 mlpack_preprocess_binarize(1)