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chickenbestlover / Online-Recurrent-Extreme-Learning-Machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
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A question about the training process #5

Open yangye19960922 opened 3 years ago

yangye19960922 commented 3 years ago

Hi, I have successfully ran through your code, but I have a question I want to communicate with you.

As shown in codes below, why you choose to compare the gap between predictedinput [i+1] and targetInput [i+1] instead of comparing the gap between predictedinput [i+1] and trueData [i+1] .

I think predictedinput [i+1] is the prediction at time i+1 which is correspond to trueData [i+1]

image

ericleonardo commented 3 years ago

Please, look if this solves your question:

https://github.com/chickenbestlover/Online-Recurrent-Extreme-Learning-Machine/issues/3#issuecomment-473770958

In the concept of online learning, we don't need to divide the dataset into test and train. Given a pair of an input and a target, the model first predicts an output using its corresponding input and then the model is trained using its output and the corresponding target. (training does not affect prediction. This is because the prediction is performed before training for all samples.) In other words, we can say that new training samples are obtained as time progresses.