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Jul 23, 2025
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DOC - Update changelog for version 0.5 #322

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4216d67
update whats new and add PR numbers
floriankozikowski Jul 23, 2025
2d68cb2
Remove trailing "."
floriankozikowski Jul 23, 2025
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12 changes: 6 additions & 6 deletions doc/changes/0.5.rst
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Version 0.5 (in progress)
-------------------------
- Add support for fitting an intercept in :ref:`SqrtLasso <skglm.experimental.sqrt_lasso.SqrtLasso>` (PR: :gh:`298`)
- Add experimental :ref:`QuantileHuber <skglm.experimental.quantile_huber.QuantileHuber>` and :ref:`SmoothQuantileRegressor <skglm.experimental.quantile_huber.SmoothQuantileRegressor>` for quantile regression, and an example script (PR: :gh:`312`).
- Add :ref:`GeneralizedLinearEstimatorCV <skglm.cv.GeneralizedLinearEstimatorCV>` for cross-validation with automatic parameter selection for L1 and elastic-net penalties (PR: :gh:`299`)
- Add :class:`skglm.datafits.group.PoissonGroup` datafit for group-structured Poisson regression. (PR: :gh:`317`)
- Add :ref:`GraphicalLasso <skglm.covariance.GraphicalLasso>` for sparse inverse covariance estimation with both primal and dual algorithms
- Add :ref:`AdaptiveGraphicalLasso <skglm.covariance.AdaptiveGraphicalLasso>` for non-convex penalty variations using iterative reweighting strategy
- 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`)