Polynomial Features

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

Documentation

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

Configuration:

  • 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.

  • 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.

  • 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).

Attributes:

  • n_input_features_

  • n_output_features_

  • powers_

Input ports:

Output ports:
modelmodel

Model

Definition

Input ports

Output ports

model

model

Model

class node_preprocessing.PolynomialFeatures[source]