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avoid boost_score > 1.0
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@ -259,7 +259,7 @@ def run_content_classification_inference(
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if prob < 0.25:
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raw_score = 0.0
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elif prob < 0.75:
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raw_score = (prob - 0.25) / 0.5
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raw_score = min(1.0, (prob - 0.25) / 0.5)
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else:
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raw_score = 1.0
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return (
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@ -291,8 +291,8 @@ def run_content_classification_inference(
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_prob_to_score(p_temp) for p_temp in output_probabilities_with_temp
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]
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output_classes = [1] * len(text_inputs)
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output_scores = [0.9] * len(text_inputs)
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# output_classes = [1] * len(text_inputs)
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# output_scores = [0.9] * len(text_inputs)
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return [
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(predicted_label, output_score)
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