Normalize Rows to Unit Length

mediumnumpy_linalg

Implement normalize_rows(X).

Given a 2D array X of shape (m, n), return an array of the same shape where each row is scaled to unit L2 norm (row / ||row||). Assume no row is all zeros. Vectorize with broadcasting — no for/while loops.

Constraints

no scipy, sklearn
no for/while loops

Your solution

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Hints

Hint 1

np.linalg.norm(X, axis=1, keepdims=True) gives per-row L2 norms to divide by.