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Nixtla / nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
https://docs.nixtla.io
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Depended on fudge which has an install issue for python > 3.9.6 & setuptools>57.5 #231

Closed muennix closed 4 months ago

muennix commented 4 months ago

Installing fudge is is using 'use_2to3' which is deprecated and not supported in setuptools>57.5

Note: there is an old pull request https://github.com/fudge-py/fudge/pull/12 that would fix the issue, but I just realized that is not really maintained anymore. Perhaps consider moving to another mock framework.

I understand that you have most likely a lot of other stuff you're working on - so take it with a grain of salt. 😀 At least in my (rather complex) environment, I don't like pinning python itself of setuptools to a specific version, which makes it difficult integrate this in my work.

jmoralez commented 4 months ago

Hey @muennix, thanks for using nixtla. I don't think we depend on fudge, can you describe how you came to that conclusion?

muennix commented 4 months ago

Weird, you are correct - It's not in your repo.

I used pip to install nixtlats, which brought the timegpt.py below:

File ~/anaconda3/lib/python3.11/site-packages/nixtlats/distributed/timegpt.py:11 9 import numpy as np 10 import pandas as pd ---> 11 import fugue 12 import fugue.api as fa 13 from fugue import transform, DataFrame, FugueWorkflow, ExecutionEngine

% pip show nixtlats Name: nixtlats Version: 0.1.20 Summary: TimeGPT SDK Home-page: https://github.com/Nixtla/nixtla Author: Author-email: License:

I will just install nixtlats manually, which should do the trick. So this is just FYI. Anyway let me know of you would like further info.

jmoralez commented 4 months ago

That's fugue, not fudge

muennix commented 4 months ago

🤦🏻‍♂️ "slightly" embarrassed. Works now - thank you

jmoralez commented 4 months ago

No problem, happy to help!