mlpack_preprocess_imputer - impute data
Contents
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.
mlpack-4.5.1 29 January 2025 mlpack_preprocess_imputer(1)
Description
This utility takes a dataset and converts a user-defined missing variable to another to provide more
meaningful analysis.
The program does not modify the original file, but instead makes a separate file to save the output data;
You can save the output by specifying the file name with'--output_file (-o)'.
For example, if we consider 'NULL' in dimension 0 to be a missing variable and want to delete whole row
containing the NULL in the column-wise'dataset.csv', and save the result to 'result.csv', we could run :
$ mlpack_preprocess_imputer--input_file dataset --output_file result --missing_value NULL --dimension 0
--strategy listwise_deletion
Name
mlpack_preprocess_imputer - impute data
Optional Input Options
--custom_value (-c) [double] User-defined custom imputation value. Default value 0.
--dimension(-d)[int]
The dimension to apply imputation to. Default value 0.
--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)[string]
File to save output into. Default value ''.
Required Input Options
--input_file(-i)[string]
File containing data.
--missing_value(-m)[string]
User defined missing value.
--strategy(-s)[string]
imputation strategy to be applied. Strategies should be one of 'custom', 'mean', 'median', and
'listwise_deletion'.
Synopsis
mlpack_preprocess_imputer-istring-mstring-sstring [-cdouble] [-dint] [-Vbool] [-ostring] [-h-v]
