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fix pytest fails #294

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fix pytest fails #294

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25 changes: 25 additions & 0 deletions skglm/estimators.py
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Original file line number Diff line number Diff line change
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