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Skmultilearn binary relevance produces sparse output. #727

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Skmultilearn binary relevance produces sparse output. #727

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5 changes: 5 additions & 0 deletions lime/lime_text.py
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Original file line number Diff line number Diff line change
Expand Up @@ -481,5 +481,10 @@ def distance_fn(x):
data[i, inactive] = 0
inverse_data.append(indexed_string.inverse_removing(inactive))
labels = classifier_fn(inverse_data)

# if labels are a sparse matrix, convert to a dense array
if sp.sparse.issparse(labels):
labels = labels.toarray()

distances = distance_fn(sp.sparse.csr_matrix(data))
return data, labels, distances