Polynomial Features

Generate a new feature matrix consisting of all polynomial combinations of the features with less than a given degree

Documentation

Attributes

n_input_features_

n_output_features_

powers_

Definition

Output ports

model model

Model

Configuration

Degree (degree)

If a single int is given, it specifies the maximal degree of the polynomial features. If a tuple (min_degree, max_degree) is passed, then min_degree is the minimum and max_degree is the maximum polynomial degree of the generated features. Note that min_degree=0 and min_degree=1 are equivalent as outputting the degree zero term is determined by include_bias.

Include bias (include_bias)

If True (default), then include a bias column, the feature in which all polynomial powers are zero (i.e. a column of ones - acts as an intercept term in a linear model).

Only interaction features produced (interaction_only)

If True, only interaction features are produced: features that are products of at most degree distinct input features, i.e. terms with power of 2 or higher of the same input feature are excluded:

• included: x, x, x * x, etc.

• excluded: x ** 2, x ** 2 * x, etc.

Implementation

class node_preprocessing.PolynomialFeatures