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Kindly update the example in the "How to use" section at the PyPI website, as well as the link to the Colab Notebook.
I've been stuck in that non-working example, but here in the repo, I found the correct one. You have developed a fantastic package, but folks like me who first face the PyPI documentation might find it not working while it is (with updated code).
The main issue I found at PyPI is using auto_arima and naive instead of AutoARIMA and Naive.
Thanks for your contribution =D
The text was updated successfully, but these errors were encountered:
cmcouto-silva
changed the title
Wrong docummentation at PyPI
Wrong documentation at PyPI
Aug 25, 2022
Thanks for reporting the issue. We haven't released a new version on pypi, but you can find the documentation with the updated code here: https://nixtla.github.io/hierarchicalforecast/.
The last PyPI library version is 0.0.6 and it already doesn't have auto_arima and naive. I installed the library using pip and I couldn't use the PyPI example, but I could use it successfully with the updated code you posted. Thanks for the quick response.
Kindly update the example in the "How to use" section at the PyPI website, as well as the link to the Colab Notebook.
I've been stuck in that non-working example, but here in the repo, I found the correct one. You have developed a fantastic package, but folks like me who first face the PyPI documentation might find it not working while it is (with updated code).
The main issue I found at PyPI is using
auto_arima
andnaive
instead ofAutoARIMA
andNaive
.Thanks for your contribution =D
The text was updated successfully, but these errors were encountered: