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Remove deprecated multi_class argument in ALogitLasso #16

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Remove deprecated multi_class argument in ALogitLasso #16

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10 changes: 0 additions & 10 deletions stabl/adaptive.py
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Original file line number Diff line number Diff line change
Expand Up @@ -214,14 +214,6 @@ class ALogitLasso(LogisticRegression):
max_iter : int, default=100
Maximum number of iterations taken for the solvers to converge.

multi_class : {'auto', 'ovr', 'multinomial'}, default='auto'
If the option chosen is 'ovr', then a binary problem is fit for each
label. For 'multinomial' the loss minimised is the multinomial loss fit
across the entire probability distribution, *even when the data is
binary*. 'multinomial' is unavailable when solver='liblinear'.
'auto' selects 'ovr' if the data is binary, or if solver='liblinear',
and otherwise selects 'multinomial'.

verbose : int, default=0
For the liblinear and lbfgs solvers set verbose to any positive
number for verbosity.
Expand Down Expand Up @@ -264,7 +256,6 @@ def __init__(
random_state=None,
solver="liblinear",
max_iter=int(1e6),
multi_class="auto",
verbose=0,
warm_start=False,
n_jobs=None,
Expand All @@ -283,7 +274,6 @@ def __init__(
random_state=random_state,
solver=solver,
max_iter=max_iter,
multi_class=multi_class,
verbose=verbose,
warm_start=warm_start,
n_jobs=n_jobs,
Expand Down