shaolang
Machine Learning in Elixir: B5 Page 105 Incorrect application of min_max_scale
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.
First Post!
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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