Scaler kfo
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Scaler kfo
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WebSep 12, 2024 · This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one. No Need to do that for each feature individually, you can scale multiple features at once: scaler = MinMaxScaler (feature_range = (0, 1)) scaler.fit (X_train) X_train = scaler.transform (X_train) X ... WebMachine Learning Homework. Contribute to EUIJEONGHONG/ML-HW development by creating an account on GitHub.
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WebDec 28, 2024 · 3 Answers Sorted by: 2 If you would fit the scaler using x_test you would be using information from your test set and would be leaking data. This is information that you would not have if your model was in production and can therefore not use when fitting your model. Share Improve this answer Follow answered Dec 28, 2024 at 20:56 Oxbowerce
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