Polynomial Expander#
This transformer will generate polynomials up to and including the specified degree of each continuous feature column. Polynomial expansion is sometimes used to fit data that is non-linear using a linear estimator such as Ridge or Logistic Regression.
Interfaces: Transformer
Data Type Compatibility: Continuous only
Parameters#
# | Name | Default | Type | Description |
---|---|---|---|---|
1 | degree | 2 | int | The highest degree polynomial to generate from each feature vector. |
Example#
use Rubix\ML\Transformers\PolynomialExpander;
$transformer = new PolynomialExpander(3);
Additional Methods#
This transformer does not have any additional methods.
Last update: 2021-01-23