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9faf4eb
1 Parent(s): 4206a1c

change text color

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  1. README.md +4 -3
README.md CHANGED
@@ -95,12 +95,13 @@ test_sen = '上丞相康思公書'
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  pred_class_proba = predict_class(test_sen)
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  print(f'The predicted probability for the {list(pred_class_proba.keys())[0]} class: {list(pred_class_proba.values())[0]}')
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  print(f'The predicted probability for the {list(pred_class_proba.keys())[1]} class: {list(pred_class_proba.values())[1]}')
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- >>> The predicted probability for the not-letter class: 0.002029061783105135
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- >>> The predicted probability for the letter class: 0.9979709386825562
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  ```
 
 
 
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  ```python
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  pred_class = idx2label[np.argmax(list(pred_class_proba.values()))]
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  print(f'The predicted class is: {pred_class}')
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- >>> The predicted class is: letter
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  ```
 
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  pred_class_proba = predict_class(test_sen)
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  print(f'The predicted probability for the {list(pred_class_proba.keys())[0]} class: {list(pred_class_proba.values())[0]}')
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  print(f'The predicted probability for the {list(pred_class_proba.keys())[1]} class: {list(pred_class_proba.values())[1]}')
 
 
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  ```
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+ <font color="IndianRed"> >>> </font> The predicted probability for the not-letter class: 0.002029061783105135
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+ <font color="IndianRed"> >>> </font> The predicted probability for the letter class: 0.9979709386825562
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+
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  ```python
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  pred_class = idx2label[np.argmax(list(pred_class_proba.values()))]
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  print(f'The predicted class is: {pred_class}')
 
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  ```
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+ <font color="IndianRed"> >>> </font> The predicted class is: letter
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