[Solved] Why does this padding code raise an error? from tensorflow.keras.preprocessing.... Why does this padding code raise an error? | NLP

NLP - Sequence Models for NLP

Why does this padding code raise an error?

from tensorflow.keras.preprocessing.sequence import pad_sequences
sequences = [[1, 2, 3], [4, 5]]
padded = pad_sequences(sequences, maxlen=3, padding='middle')

Apad_sequences requires a 'truncating' parameter when padding

Bmaxlen must be greater than the longest sequence length

CSequences must be of equal length before padding

D'middle' is not a valid padding option; only 'pre' or 'post' are allowed

Step-by-Step Solution

Solution:

Step 1: Check valid padding options
pad_sequences accepts only 'pre' or 'post' for padding parameter.
Step 2: Identify invalid value
Using 'middle' causes an error because it is not supported.
Final Answer:
'middle' is not a valid padding option; only 'pre' or 'post' are allowed -> Option D
Quick Check:
Use only 'pre' or 'post' for padding [OK]

Quick Trick: Padding must be 'pre' or 'post' only [OK]

Common Mistakes:

MISTAKES

Using unsupported padding values like 'middle'
Assuming sequences must be equal length before padding
Forgetting to specify truncating when needed

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Why does this padding code raise an error?

Step 1: Check valid padding options

Step 2: Identify invalid value

Final Answer:

Quick Check:

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