DOC loss='l2' is no longer accpeted in l1_min_c
@@ -32,8 +32,6 @@ def l1_min_c(X, y, loss='squared_hinge', fit_intercept=True,
Specifies the loss function.
With 'squared_hinge' it is the squared hinge loss (a.k.a. L2 loss).
With 'log' it is the loss of logistic regression models.
- 'l2' is accepted as an alias for 'squared_hinge', for backward
- compatibility reasons, but should not be used in new code.
fit_intercept : bool, default: True
Specifies if the intercept should be fitted by the model.
