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8 changes: 7 additions & 1 deletion examples/decoding/decoding_xdawn_eeg.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@
from mne import Epochs, io, pick_types, read_events
from mne.datasets import sample
from mne.decoding import Vectorizer, XdawnTransformer, get_spatial_filter_from_estimator
from mne.utils import check_version

print(__doc__)

Expand Down Expand Up @@ -70,11 +71,16 @@
)

# Create classification pipeline
kwargs = dict()
if check_version("sklearn", "1.8"):
kwargs["l1_ratio"] = 1
else:
kwargs["penalty"] = "l1"
clf = make_pipeline(
XdawnTransformer(n_components=n_filter),
Vectorizer(),
MinMaxScaler(),
OneVsRestClassifier(LogisticRegression(penalty="l1", solver="liblinear")),
OneVsRestClassifier(LogisticRegression(solver="liblinear", **kwargs)),
)

# Get the data and labels
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