| Issue | #Downvotes for this reason | By |
|---|
| alpha | Constant that multiplies the penalty term and thus determines the regularization strength. ``alpha = 0`` is equivalent to unpenalized GLMs. In this case, the design matrix `X` must have full column rank (no collinearities) | default: 1.0 |
| fit_intercept | Specifies if a constant (a.k.a. bias or intercept) should be added to the linear predictor (X @ coef + intercept) | default: true |
| max_iter | The maximal number of iterations for the solver | default: 100 |
| tol | Stopping criterion. For the lbfgs solver, the iteration will stop when ``max{|g_j|, j = 1, ..., d} <= tol`` where ``g_j`` is the j-th component of the gradient (derivative) of the objective function | default: 0.0001 |
| verbose | For the lbfgs solver set verbose to any positive number for verbosity. | default: 0 |
| warm_start | If set to ``True``, reuse the solution of the previous call to ``fit`` as initialization for ``coef_`` and ``intercept_`` | default: false |