Update README.md
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README.md
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@@ -87,14 +87,6 @@ In addition, it is possible to condense the labels even further into three categ
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num_output = 0.12
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def get_3_category_label(x: float) -> str:
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import numpy as np
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label_mapping = {
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0: 'Negative',
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1: 'Mixed Negative',
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2: 'Neutral Negative',
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3: 'Neutral Positive',
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4: 'Mixed Positive',
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5: 'Positive'
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}
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three_category_mapper = {
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0: 'Negative',
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1: 'Neutral',
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num_output = 0.12
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def get_3_category_label(x: float) -> str:
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import numpy as np
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three_category_mapper = {
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0: 'Negative',
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1: 'Neutral',
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