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Reduce Default Lime Lasso Regularization #689

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Reduce Default Lime Lasso Regularization #689

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4 changes: 2 additions & 2 deletions captum/attr/_core/lime.py
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Original file line number Diff line number Diff line change
Expand Up @@ -727,7 +727,7 @@ def __init__(
interpretable_model (optional, Model): Model object to train
interpretable model.

This argument is optional and defaults to SkLearnLasso(alpha=1.0),
This argument is optional and defaults to SkLearnLasso(alpha=0.01),
which is a wrapper around the Lasso linear model in SkLearn.
This requires having sklearn version >= 0.23 available.

Expand Down Expand Up @@ -805,7 +805,7 @@ def __init__(

"""
if interpretable_model is None:
interpretable_model = SkLearnLasso(alpha=1.0)
interpretable_model = SkLearnLasso(alpha=0.01)

if similarity_func is None:
similarity_func = get_exp_kernel_similarity_function()
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1 change: 1 addition & 0 deletions tests/attr/test_lime.py
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Expand Up @@ -464,6 +464,7 @@ def _lime_test_assert(
lime = Lime(
model,
similarity_func=get_exp_kernel_similarity_function("cosine", 10.0),
interpretable_model=SkLearnLasso(alpha=1.0),
)
with self.assertWarns(DeprecationWarning):
attributions = lime.attribute(
Expand Down