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One Hot Encoder#

The One Hot Encoder takes a categorical feature column and produces an n-dimensional continuous representation where n is equal to the number of unique categories present in that column. A 0 in any location indicates that the category represented by that column is not present in the sample, whereas a 1 indicates that a category is present.

Interfaces: Transformer, Stateful, Persistable

Data Type Compatibility: Categorical

Parameters#

This transformer does not have any parameters.

Example#

use Rubix\ML\Transformers\OneHotEncoder;

$transformer = new OneHotEncoder();

Additional Methods#

Return the categories computed during fitting indexed by feature column:

public categories() : ?array


Last update: 2021-01-09