1mlpack_preprocess_imputer(1)General Commands Manualmlpack_preprocess_imputer(1)
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NAME

6       mlpack_preprocess_imputer - impute data
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SYNOPSIS

9        mlpack_preprocess_imputer [-h] [-v]
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DESCRIPTION

12       This utility takes a dataset and converts user defined missing variable
13       to another to provide more meaningful analysis
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15       The program does not modify the original file, but instead makes a sep‐
16       arate file to save the output data; You can save the output by specify‐
17       ing the file name with --output_file (-o).
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19       For example, if we consider 'NULL' in dimension 0 to be a missing vari‐
20       able  and  want  to delete whole row containing the NULL in the column-
21       wise dataset, and save the result to result.csv, we could run
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23       $ mlpack_preprocess_imputer -i dataset.csv -o result.csv -m NULL -d 0 >
24       -s listwise_deletion
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REQUIRED INPUT OPTIONS

27       --input_file (-i) [string]
28              File containing data,
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OPTIONAL INPUT OPTIONS

31       --custom_value (-c) [double] user_defined custom value Default value 0.
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33       --dimension (-d) [int]
34              the dimension to apply imputation Default value
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36              0.
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39       --help (-h)
40              Default help info.
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42       --info [string]
43              Get  help  on  a  specific  module or option.  Default value ''.
44              --missing_value (-m) [string] User defined missing value Default
45              value ''.
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47       --strategy (-s) [string]
48              imputation  strategy  to be applied. Strategies should be one of
49              'custom', 'mean',  'median',  and  ’listwise_deletion'.  Default
50              value ''.
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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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OPTIONAL OUTPUT OPTIONS

60       --output_file (-o) [string]
61              File to save output Default value ''.
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ADDITIONAL INFORMATION

ADDITIONAL INFORMATION
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_imputer(1)



        

    


            
        

        

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