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janhavi13 avatar janhavi13 commented on June 14, 2024 2

@imatiach-msft :
@enosakhare recommended the fix (similar fix) which was made to unified information explainer.
return _create_local_explanation(
classification=True,
text_explanation=True,
local_importance_values=np.array(local_importance_values)[1:-1],
method="neural network",
model_task="classification",
features=self.parsed_sentence[1:-1],
classes=classes,
predicted_label=predicted_label,
true_label=true_label,
)

from interpret-text.

rebeccaj1211 avatar rebeccaj1211 commented on June 14, 2024 1

@janhavi13 comment about the sentence[1:-1] is the ideal fix since we wanted the dashboard to be agnostic to the input. However, if you wanted to make this change in the dashboard, It's a relatively easy change to make in widget/ExplanationDashboard.py

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imatiach-msft avatar imatiach-msft commented on June 14, 2024

I'm guessing this is after doing the full run? doing a quick run shows this:

image

from interpret-text.

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