Feature normalization axis error
Review this Python feature-normalization function.
Downstream models trained on this perform worse than on raw features. What's the bug?
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1import numpy as np
2
3def normalize_features(X):
4 # X shape: (n_samples, n_features); scale each FEATURE to mean 0, std 1
5 mean = X.mean(axis=1, keepdims=True)
6 std = X.std(axis=1, keepdims=True)
7 return (X - mean) / std
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