Machine Learning for Beginners in Python: How to Add Interaction Terms in Linear Regression

Adding Interaction Terms

Preliminaries


/* Load libraries */
from sklearn.linear_model import LinearRegression
from sklearn.datasets import load_boston
from sklearn.preprocessing import PolynomialFeatures
import warnings

/* Suppress Warning */
warnings.filterwarnings(action="ignore", module="scipy", message="^internal gelsd")

Load Boston Housing Dataset


/* Load the data with only two features */
boston = load_boston()
X = boston.data[:,0:2]
y = boston.target

Add Interaction Term


/* Create interaction term (not polynomial features) */
interaction = PolynomialFeatures(degree=3, include_bias=False, interaction_only=True)
X_inter = interaction.fit_transform(X)

Fit Linear Regression


/* Create linear regression */
regr = LinearRegression()

/* Fit the linear regression */
model = regr.fit(X_inter, y)

 

 

Python Example for Beginners

Two Machine Learning Fields

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