NAME
mlpack_preprocess_imputer - impute data
SYNOPSIS
mlpack_preprocess_imputer -i string -m string -s string [-c double] [-d int] [-V bool] [-o string] [-h -v]
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
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'.
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 ''.
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.