Normalize features for deep learning
Prepare data for deep learning
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Write Python code to normalize features for a deep learning model using PyTorch/TensorFlow. Apply batch normalization layer configuration, feature-wise standardization using training set statistics, handle constant and near-constant columns, clip extreme values at the [1st, 99th] percentile, and create a reusable preprocessing class.
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Pour les colonnes quasi-constantes, fixez un seuil de variance (ex: 1e-6) et assignez-leur une valeur nulle après standardisation. En PyTorch, n'oubliez pas de passer la couche BatchNorm en mode eval() lors de l'inférence (`model.eval()`) pour utiliser les statistiques courantes et non celles du batch.
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