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Merged
merged 6 commits into from
Jul 31, 2025
Merged

MNT - Start development of skglm v0.6 #327

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589cfb3
update version
Badr-MOUFAD Jul 31, 2025
7f0a036
update the what's new
Badr-MOUFAD Jul 31, 2025
e0d0ed1
fix
Badr-MOUFAD Jul 31, 2025
5db4762
Update doc/changes/0.5.rst
Badr-MOUFAD Jul 31, 2025
7d96161
[CI trigger]
Badr-MOUFAD Jul 31, 2025
8982dd9
Merge branch 'start-dev-0.6' of https://github.com/Badr-MOUFAD/skglm …
Badr-MOUFAD Jul 31, 2025
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4 changes: 2 additions & 2 deletions doc/changes/0.5.rst
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.. _changes_0_5:

Version 0.5 (in progress)
-------------------------
Version 0.5 (29/072025)
-----------------------
- Add support for fitting an intercept in :ref:`SqrtLasso <skglm.experimental.SqrtLasso>` (PR: :gh:`298`)
- Add experimental :ref:`QuantileHuber <skglm.experimental.QuantileHuber>` and :ref:`SmoothQuantileRegressor <skglm.experimental.SmoothQuantileRegressor>` for quantile regression (PR: :gh:`312`).
- Add :ref:`GeneralizedLinearEstimatorCV <skglm.GeneralizedLinearEstimatorCV>` for cross-validation with automatic parameter selection for L1 and elastic-net penalties (PR: :gh:`299`)
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10 changes: 10 additions & 0 deletions doc/changes/0.6.rst
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.. _changes_0_5:

Version 0.6 (in progress)
-------------------------
- Add support for fitting an intercept in :ref:`SqrtLasso <skglm.experimental.SqrtLasso>` (PR: :gh:`298`)
- Add experimental :ref:`QuantileHuber <skglm.experimental.QuantileHuber>` and :ref:`SmoothQuantileRegressor <skglm.experimental.SmoothQuantileRegressor>` for quantile regression (PR: :gh:`312`).
- Add :ref:`GeneralizedLinearEstimatorCV <skglm.GeneralizedLinearEstimatorCV>` for cross-validation with automatic parameter selection for L1 and elastic-net penalties (PR: :gh:`299`)
- Add :ref:`PoissonGroup <skglm.datafits.PoissonGroup>` datafit for group-structured Poisson regression (PR: :gh:`317`)
- Add :ref:`GraphicalLasso <skglm.GraphicalLasso>` for sparse inverse covariance estimation with both primal and dual algorithms (PR: :gh:`280`)
- Add :ref:`AdaptiveGraphicalLasso <skglm.AdaptiveGraphicalLasso>` for non-convex penalty variations using iterative reweighting strategy (PR: :gh:`280`)
2 changes: 2 additions & 0 deletions doc/changes/whats_new.rst
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Expand Up @@ -5,6 +5,8 @@ What's new

.. currentmodule:: skglm

.. include:: 0.6.rst

.. include:: 0.5.rst

.. include:: 0.4.rst
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2 changes: 1 addition & 1 deletion skglm/__init__.py
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__version__ = '0.5dev'
__version__ = '0.6dev'

from skglm.estimators import ( # noqa F401
Lasso, WeightedLasso, ElasticNet, MCPRegression, MultiTaskLasso, LinearSVC,
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