You get a ValueError when running this code:

medium📝 Debug Q6 of 15

NLP - Text Similarity and Search

from sklearn.metrics.pairwise import cosine_similarity
vec1 = [1, 2, 3]
vec2 = [4, 5, 6]
sim = cosine_similarity(vec1, vec2)

What is the correct way to fix it?

AUse numpy arrays without changing shape

BConvert vec1 and vec2 to 2D arrays like [[1, 2, 3]] and [[4, 5, 6]]

CCall cosine_similarity with vec1 and vec2 as lists directly

DNo fix needed; the code is correct

Step-by-Step Solution

Solution:

Step 1: Understand error
cosine_similarity expects 2D arrays, but vec1 and vec2 are 1D lists.
Step 2: Fix input shape
Wrap vectors in another list to make them 2D arrays.
Final Answer:
Convert vec1 and vec2 to 2D arrays like [[1, 2, 3]] and [[4, 5, 6]] -> Option B
Quick Check:
cosine_similarity requires 2D inputs. [OK]

Quick Trick: Input vectors must be 2D arrays for sklearn [OK]

Common Mistakes:

MISTAKES

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