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