If you’re getting errors such as KeyError: ‘acc’ or KeyError: ‘val_acc’ in your Keras code, it may be due to a recent change in Keras 2.3.x.
In Keras 2.3.0, how the matrices are reported was changed to match the exact name it was specified with. If you are using older code or older code examples, then you might run into errors. Here is how to fix them.
Have you been using the ‘History’ object returned by the fit() functions of Keras to graph or visualize the training history of your models? And have you been getting a ‘KeyError’ type error such as the following since recent Keras upgrade and wondering why?
Traceback (most recent call last): File "lenet_mnist_keras.py", line 163, in <module> graph_training_history(history) File "lenet_mnist_keras.py", line 87, in graph_training_history plt.plot(history.history['acc']) KeyError: 'acc'
The KeyError: ‘acc’ when attempting to read the history object
Traceback (most recent call last): File "lenet_mnist_keras.py", line 163, in <module> graph_training_history(history) File "lenet_mnist_keras.py", line 88, in graph_training_history plt.plot(history.history['val_acc']) KeyError: 'val_acc'
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Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
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