NAME¶

mlpack_preprocess_imputer - impute data

SYNOPSIS¶

 mlpack_preprocess_imputer -s string [-c double] [-d int] [-i unknown] [-m double] [-V bool] [-o unknown] [-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 matrix, but instead makes a separate matrix for the output, via the '--output_file (-o)'option.

For example, if we consider NaN values in dimension 0 to be a missing variable and want to delete whole data point if it contains a NaN in the column-wise'dataset.csv', we could run:

$ mlpack_preprocess_imputer --input_file dataset.csv --output_file result.csv --dimension 0 --strategy listwise_deletion

REQUIRED INPUT OPTIONS¶

--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; only used if the strategy is 'custom'. Default value 0.

--dimension (-d) [int]

The dimension to apply imputation to. If not specified, missing values will be imputed in every dimension. Default value 0.

--help (-h) [bool]

Default help info.

--info [string]

Print help on a specific option. Default value ''.

--input_file (-i) [unknown]

Input matrix to impute values for.

--missing_value (-m) [double]

Value to use to indicate missing elements that will be imputed. Default value nan.

--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) [unknown] Matrix to output that will have imputed values.

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.