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Fix LimeBase Example Transformation #908

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Fix LimeBase Example Transformation #908

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6a002d8
Fix lime example
vivekmig Mar 22, 2022
73a07b6
Fix
vivekmig Mar 22, 2022
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10 changes: 7 additions & 3 deletions captum/attr/_core/lime.py
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Original file line number Diff line number Diff line change
Expand Up @@ -394,16 +394,20 @@ def attribute(
>>> # input will be different and may have a smaller feature set, so
>>> # an appropriate transformation function should be provided.
>>>
>>> # Generating random input with size 2 x 5
>>> input = torch.randn(2, 5)
>>> def to_interp_transform(curr_sample, original_inp,
>>> **kwargs):
>>> return curr_sample
>>>
>>> # Generating random input with size 1 x 5
>>> input = torch.randn(1, 5)
>>> # Defining LimeBase interpreter
>>> lime_attr = LimeBase(net,
SkLearnLinearModel("linear_model.Ridge"),
similarity_func=similarity_kernel,
perturb_func=perturb_func,
perturb_interpretable_space=False,
from_interp_rep_transform=None,
to_interp_rep_transform=lambda x: x)
to_interp_rep_transform=to_interp_transform)
>>> # Computes interpretable model, returning coefficients of linear
>>> # model.
>>> attr_coefs = lime_attr.attribute(input, target=1, kernel_width=1.1)
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