Polynomial Features

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

Configuration:

• degree

  The degree of the polynomial features. Default = 2.

• interaction_only

  If true, only interaction features are produced: features that are products of at most degree distinct input features (so not x ** 2, x * x ** 3, 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_

  The total number of input features.

• n_output_features_

  The total number of polynomial output features. The number of output features is computed by iterating over all suitably sized combinations of input features.

• powers_

  powers_[i, j] is the exponent of the jth input in the ith output.

Input ports:

Output ports:

model : model

Model

degree (degree)

The degree of the polynomial features. Default = 2.

interaction_only (interaction_only)

If true, only interaction features are produced: features that are products of at most degree distinct input features (so not x ** 2, x * x ** 3, etc.).

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).

Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.

class node_preprocessing.PolynomialFeatures