| mlpack_preprocess_imputer(26 December 2016) | mlpack_preprocess_imputer(26 December 2016) |
NAME¶
mlpack_preprocess_imputer - impute dataSYNOPSIS¶
mlpack_preprocess_imputer [-h] [-v]
DESCRIPTION¶
This utility takes a dataset and converts user defined missing variable to another to provide more meaningful analysisThe 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, and save the result to result.csv, we could run
$ mlpack_preprocess_imputer -i dataset.csv -o result.csv -m NULL -d 0 > -s listwise_deletion
REQUIRED INPUT OPTIONS¶
- --input_file (-i) [string]
- File containing data,
OPTIONAL INPUT OPTIONS¶
--custom_value (-c) [double] user_defined custom value Default value 0.- --dimension (-d) [int]
- the dimension to apply imputation Default value
- 0.
- --help (-h)
- Default help info.
- --info [string]
- Get help on a specific module or option. Default value ''. --missing_value (-m) [string] User defined missing value Default value ''.
- --strategy (-s) [string]
- imputation strategy to be applied. Strategies should be one of 'custom', 'mean', 'median', and ’listwise_deletion'. Default value ''.
- --verbose (-v)
- Display informational messages and the full list of parameters and timers at the end of execution.
- --version (-V)
- Display the version of mlpack.
OPTIONAL OUTPUT OPTIONS¶
- --output_file (-o) [string]
- File to save output Default value ''.