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MNT add tags for sklearn #293

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Merged
merged 2 commits into from
Apr 15, 2025
Merged

MNT add tags for sklearn #293

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a46c2e5
add tags
mathurinm Apr 15, 2025
eb962cc
ignore pydocstyle error
mathurinm Apr 15, 2025
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2 changes: 1 addition & 1 deletion .github/workflows/flake8.yml
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Expand Up @@ -30,4 +30,4 @@ jobs:
- name: Check doc style with pydocstyle
run: |
pip install pydocstyle
pydocstyle skglm --ignore='D100',D102,'D104','D107','D203','D213','D413'
pydocstyle skglm --ignore='D100',D102,'D104','D105','D107','D203','D213','D413',
25 changes: 25 additions & 0 deletions skglm/estimators.py
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Expand Up @@ -448,6 +448,11 @@ def path(self, X, y, alphas, coef_init=None, return_n_iter=True, **params):
warm_start=self.warm_start, verbose=self.verbose)
return solver.path(X, y, datafit, penalty, alphas, coef_init, return_n_iter)

def __sklearn_tags__(self):
tags = super().__sklearn_tags__()
tags.input_tags.sparse = True
return tags


class WeightedLasso(RegressorMixin, LinearModel):
r"""WeightedLasso estimator based on Celer solver and primal extrapolation.
Expand Down Expand Up @@ -611,6 +616,11 @@ def fit(self, X, y):
warm_start=self.warm_start, verbose=self.verbose)
return _glm_fit(X, y, self, Quadratic(), penalty, solver)

def __sklearn_tags__(self):
tags = super().__sklearn_tags__()
tags.input_tags.sparse = True
return tags


class ElasticNet(RegressorMixin, LinearModel):
r"""Elastic net estimator.
Expand Down Expand Up @@ -765,6 +775,11 @@ def fit(self, X, y):
return _glm_fit(X, y, self, Quadratic(),
L1_plus_L2(self.alpha, self.l1_ratio, self.positive), solver)

def __sklearn_tags__(self):
tags = super().__sklearn_tags__()
tags.input_tags.sparse = True
return tags


class MCPRegression(RegressorMixin, LinearModel):
r"""Linear regression with MCP penalty estimator.
Expand Down Expand Up @@ -953,6 +968,11 @@ def fit(self, X, y):
warm_start=self.warm_start, verbose=self.verbose)
return _glm_fit(X, y, self, Quadratic(), penalty, solver)

def __sklearn_tags__(self):
tags = super().__sklearn_tags__()
tags.input_tags.sparse = True
return tags


class SparseLogisticRegression(LinearClassifierMixin, SparseCoefMixin, BaseEstimator):
r"""Sparse Logistic regression estimator.
Expand Down Expand Up @@ -1380,6 +1400,11 @@ def fit(self, X, y):

return self

def __sklearn_tags__(self):
tags = super().__sklearn_tags__()
tags.input_tags.sparse = True
return tags


class MultiTaskLasso(RegressorMixin, LinearModel):
r"""MultiTaskLasso estimator.
Expand Down