January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Evaluating the classifier's accuracy
The class that will be used to evaluate the MLP classifier's accuracy for the given combination of hidden layers and hyperparameters is called MlpHyperparametersTest, and is contained in the file mlp_hyperparameters_test.py, which is located at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/blob/master/Chapter09/mlp_hyperparameters_test.py.
This class is based on the one we used to optimize the configuration of the hidden layers, MlpLayersTest, but with a few modifications. Let's go over these:
- The convertParam() method now handles a params list where the first four entries (params[0] through params[3]) represent the sizes of the hidden layers, just as before, but in addition, ...
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