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DOC: Update derivation equations of positive Group Lasso penalty
- Add complete Lagrangian derivation for case w = 0 - Include rigorous KKT conditions and optimality analysis - Replace incomplete derivations with full mathematical proofs Fixes #243
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skglm/datafits/__init__.py

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from .base import BaseDatafit, BaseMultitaskDatafit
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from .single_task import (Quadratic, QuadraticSVC, Logistic, Huber, Poisson, Gamma,
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Cox, WeightedQuadratic, QuadraticHessian,)
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from ._double_quadratic import DoubleQuadratic
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from .multi_task import QuadraticMultiTask
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from .group import QuadraticGroup, LogisticGroup, PoissonGroup
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__all__ = [
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BaseDatafit, BaseMultitaskDatafit,
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Quadratic, QuadraticSVC, Logistic, Huber, Poisson, Gamma, Cox,
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QuadraticMultiTask,
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QuadraticGroup, LogisticGroup, PoissonGroup, WeightedQuadratic,
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QuadraticHessian, DoubleQuadratic # Add this
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]
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'BaseDatafit', 'BaseMultitaskDatafit',
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'Quadratic', 'QuadraticSVC', 'Logistic', 'Huber', 'Poisson', 'Gamma', 'Cox',
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'QuadraticMultiTask',
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'QuadraticGroup', 'LogisticGroup', 'PoissonGroup', 'WeightedQuadratic',
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'QuadraticHessian'
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]

skglm/tests/test_double_quadratic.py

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