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DidierRLopes avatar DidierRLopes commented on April 28, 2024 2

I get it now.

I'll add this to the future features, although with low priority. Thank you!

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DidierRLopes avatar DidierRLopes commented on April 28, 2024

Can you give further insight into this. Didn't get the idea.

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sabujp avatar sabujp commented on April 28, 2024

so if i close the graph and then type the command again, e.g. lstm or rnn, it recalculates every epoch and the final output. Why can't the output data just be saved so for the same input data set I get the same output without having to run the rnn or lstm again, i.e. the graph appears immediately without doing the same calculations over again?

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DidierRLopes avatar DidierRLopes commented on April 28, 2024

I thought about this, and was thinking if this is really necessary?

My reasoning being,

  1. This only impacts someone that wants to run the exact same model, on the exact same stock, on the exact same time frame. How many times does this happen?
  2. You can save the matplotlib figure, and recall what were your conclusions.
  3. If your model is taking so long to train that this is something you see as valuable, you're likely performing overfitting.

Let me know if I'm missing something, or you disagree. Thanks!

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sabujp avatar sabujp commented on April 28, 2024

didn't check to see if we can change the epochs, if so will reduce and then see what difference it makes

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DidierRLopes avatar DidierRLopes commented on April 28, 2024

Given our previous discussion, I'll close this ticket. Let me know if there's a clear action you'd like us to take, or feel free to open a PR against the roadmap instead

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