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@Badr-MOUFAD suggested we implement one for compatibility reasons ; we never had any complaint about it but if we claim 100% compat with sklearn, I agree we need it. sklearn LogisticRegression doesn't have it, so I'd just implement it for our Lasso and ElasticNet (not other estimators)
The text was updated successfully, but these errors were encountered:
Sklearn ElasticNet (and its Lasso which inherits from it) exposes a sparse_coef_ attribute after fitting : https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/linear_model/_coordinate_descent.py#L1122
we don't
@Badr-MOUFAD suggested we implement one for compatibility reasons ; we never had any complaint about it but if we claim 100% compat with sklearn, I agree we need it. sklearn LogisticRegression doesn't have it, so I'd just implement it for our Lasso and ElasticNet (not other estimators)
The text was updated successfully, but these errors were encountered: