Comments (4)
Hi @erickdelgado, are you able to share the code snippet you're trying to run and the error message? I've been meaning to setup an issues template but haven't got around to it.
data_loader
is meant to load an S&P 500 dataset, so it shouldn't be necessary if you're using your own data. Maybe I have a typo in the readme example or maybe something weird is going on with how you're importing the package modules.
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Well, I cloned the repo down and ran it as is, I suppose thats the issue. Ultimately I wanted to pump a csv of btc data through this method you've defined here. I'm also a novice with python, is there some init function I should invoke after I've cloned and downloaded the requisite packages? Appreciate your time, thanks.
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Trying to run your boilerplate code up until the first visualization gets printed, but it is erroring there. Here are some snippets of code and the error stack trace.
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Hey I figured out all my issues and managed to run your model through with a bitcoin dataset. Thanks for your time.
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Related Issues (20)
- Hello is it possible to save the fitted model and the nested fits res calculations and then load it up again? Thank you HOT 1
- Consider adding a version that uses Tensorflow
- Name Error HOT 3
- Minor issue running the example ... HOT 1
- New Code does not work for confidence indicator
- error message when running the code. HOT 3
- ERROR in lppls.mp_compute_nested_fits HOT 7
- ValueError of LPPL_CMAES in NASDAQ Example
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- add topic "finance" HOT 1
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- setup.py needs`tqdm` and `numba`
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- Optimizing and high freq. HOT 2
- Divide by zero encountered in double_scalars HOT 1
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- LPPL on CUDA graphic cards
- add future days forecast for the fitted lines HOT 1
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