Missing Data Imputer#

The Missing Data Imputer replaces missing values denoted by NaN for continuous features or a placeholder variable for categorical ones with a guess based on user-defined Strategy.

Interfaces: Transformer, Stateful

Data Type Compatibility: Categorical and Continuous only


# Param Default Type Description
1 placeholder '?' string The categorical placeholder variable denoting the category that contains missing values.
2 continuous strategy Mean object The guessing strategy to employ for continuous feature columns.
3 categorical strategy K Most Frequent object The guessing strategy to employ for categorical feature columns.

Additional Methods#

This transformer does not have any additional methods.


use Rubix\ML\Transformers\MissingDataImputer;
use Rubix\ML\Other\Strategies\Percentile;
use Rubix\ML\Other\Strategies\Prior;

$transformer = new MissingDataImputer('unknown', new Percentile(0.61), new Prior());