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Hi all!
I tried applying the Evaluator to my nested list entities, but it only returns "results" and "results_by_tag".
evaluator = Evaluator(true, predicted, tags=['FAUNA', 'FLORA'], loader="list") results, results_by_tag, result_indices, result_indices_by_tag = evaluator.evaluate()
evaluator = Evaluator(true, predicted, tags=['FAUNA', 'FLORA'], loader="list")
results, results_by_tag, result_indices, result_indices_by_tag = evaluator.evaluate()
Error:
ValueError: not enough values to unpack (expected 4, got 2)
Any idea how I can fix this? Or am I missing something? :) Thank you!
The text was updated successfully, but these errors were encountered:
Hi @TessDejaeghere
Can you tell us which version of nervaluate you are running and the content of trueand predictedso that we can replicate the error.
nervaluate
true
predicted
Also, currently, nervaluate doesn't support nested entities.
Sorry, something went wrong.
Hi @davidsbatista when you say that nervaluate doesn't support nested entities. Are you referring to the pip version 0.2.0.?
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Hi all!
I tried applying the Evaluator to my nested list entities, but it only returns "results" and "results_by_tag".
evaluator = Evaluator(true, predicted, tags=['FAUNA', 'FLORA'], loader="list")
results, results_by_tag, result_indices, result_indices_by_tag = evaluator.evaluate()
Error:
ValueError: not enough values to unpack (expected 4, got 2)
Any idea how I can fix this? Or am I missing something? :)
Thank you!
The text was updated successfully, but these errors were encountered: