Allows you to add nonlinear features without using pure polynomials. Splines are "piecewise polynomials" and have significant advantages over pure polynomials.
Notice how the spline (orange) can match the ground truth (black) better than the polynomials.
2. SGDOneClassSVM:
Allows for unsupervised outlier detection using stochastic gradient descent.
Unlike OneClassSVM, it's suitable for large datasets.
To be clear, scikit-learn has been stable for years, and releasing version 1.0 is just a way to indicate that to users.
Regardless, 1.0 is a HUGE milestone, and we should THANK the thousands of contributors who have donated countless hours to this project in the past decade! π
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