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Machine Learning in Elixir: B5 Page 105 Incorrect application of min_max_scale

shaolang

shaolang

Machine Learning in Elixir: B5 Page 105 Incorrect application of min_max_scale

@seanmor5

Test data should be scaled using the learned parameters from scaling train data. For example, if train data contains [1, 2, 3, 10], their scaled values in train data are [0.1, 0.2, 0.3, 1.0] but if test data only has [1, 2, 3], their scaled value are [0.33, 0.66, 1.0] instead. Such diff will upset the metrics when evaluating the model on test data.

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seanmor5

seanmor5

Author of Genetic Algorithms in Elixir

Good shout, the correct code should be something like:

scaler = Scholar.Preprocessing.MinMaxScaler.fit(train_inputs)
train_inputs = Scholar.Preprocessing.MinMaxScaler.transform(scaler, train_inputs)
test_inputs = Scholar.Preprocessing.MinMaxScaler.transform(scaler, test_inputs)
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