A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
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Updated
Feb 2, 2023 - Python
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
approximate message massing (AMP), bridge regression, optimal tuning
Flexible SVM framework implementation
Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.
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