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[Ariunbileg0626]

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[x4nth055]

I have updated the code now, recent versions of TensorFlow's model.evaluate() returns a Python float instead of numpy.float32, I've updated the code to work on both!
@cappittall 's solution is useful as well, thanks!

[Ariunbileg0626]

AttributeError Traceback (most recent call last)
in
1 # evaluate the model
2 mse, mae = model.evaluate(data["X_test"], data["y_test"], verbose=0)
----> 3 mean_absolute_error = data["column_scaler"]["adjclose"].inverse_transform(mae.shape(1, -1))[0][0]
4 print("Mean Absolute Error:", mean_absolute_error)

AttributeError: 'float' object has no attribute 'shape'

[cappittall]

I have the same error : AttributeError: 'float' object has no attribute 'shape'

Hey @Ariunbileg0626
You may convert mea to NumPy Array then you can reshape! like:

• np.array(mae).reshape(1,-1)...