Comments (2)
Elzic6
commented on August 16, 2024
1
works fine :)
Thanks a lot for your support for solving this issue and others!
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Pawel-Kranzberg
commented on August 16, 2024
@Elzic6 - The current structure of predict_batch() is by design. As a workaround please try this approach:
test_texts = ['aaa', 'bbb', 'ccc']
valid_predictions = [[('b', 0.9), ('a', 0.07), ('c', 0.03)], [('a', 0.5), ('c', 0.3), ('b', 0.2)]]
results_by_labels = pd.DataFrame.from_dict({i: {k[0]: k[1] for k in r} for i, r in zip(test_texts, valid_predictions)}, orient = 'index')
results_by_labels = results_by_labels[sorted(results_by_labels)]
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