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pygam_linear_gam_regression_with_spline_and_factor_terms.py

python

This quickstart demonstrates how to fit a Generalized Additive Model (GAM) to a re

15d ago18 linespygam.readthedocs.io
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pygam_linear_gam_regression_with_spline_and_factor_terms.py
1from pygam import LinearGAM, s, f
2from pygam.datasets import wage
3import pandas as pd
4
5# Load the dataset
6X, y = wage(return_X_y=True)
7
8# Fit a model with a spline term for 'year' and 'age', and a factor term for 'education'
9gam = LinearGAM(s(0) + s(1) + f(2)).gridsearch(X, y)
10
11# Print the model summary
12gam.summary()
13
14# Make predictions
15predictions = gam.predict(X)
16
17# Calculate statistics
18print(f"R^2: {gam.accuracy(X, y)}")