NAME¶

SYNOPSIS¶

 mlpack_preprocess_imputer -i string -m string -s string [-c double] [-d int] [-V bool] [-o string] [-h -v] 

DESCRIPTION¶

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, 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.

--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¶

--dimension (-d) [int]

The dimension to apply imputation to. Default value 0.

--help (-h) [bool]

Default help info.

--info [string]

Get help on a specific module or 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¶