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1st integration with TimeGPT-1 (Beta), from Nixtla #5292
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So I loaded in an example stock load, (K0 ticker), which is saved to k0 Running the following:
In debug mode, it says a 500 error code from nixtla? If I dont specify the --ci flag, teh default values give errors on is_integer:
Could also use a better help message on --targetcol and --timecol, as not specifying them just defauklts to twice printed error:
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Nice, thanks for feedback! @jmaslek The API is in constant development by Azul (@FedericoGarza ) from Nixtla's team - were you using latest version? When I see these "There was an error connecting to the API. Please try again later." it's usually on their side, and so it's important to know what args we are sending so they can replicate. |
![]() @jmaslek seems you were running an old version, had no problems with ko. |
Running into something weird. Loading in /fixedincome/fed --start 2020-01-01 -p weekly --export fedfunds.csv Specifying the freq actually causes it to fail (you need to pull my change to load to double check)?
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hi @DidierRLopes and @jmaslek! Thanks for letting us know about this issue. We've released a new version of ![]() |
* integrate time gpt from Nixtla * add to reqs * add residuals to timegpt * fix some bugs * remove twitter functions * remove twitter functions and all references to it * start work to integrate date features * add date_features to timegpt * remove twitter functions * remove twitter functions and all references to it * Update deps for timegpt + askobb * Update forecast load to set an index to date * lint * spell * mypy * mypy2 * blac k * pylint --------- Co-authored-by: James Maslek <jmaslek11@gmail.com>
Description
Integrate the new TimeGPT-1 (Beta) model from Nixtla.
TimeGPT-1 (Beta) is a new model that is early alpha from Nixtla. It was trained on the largest collection of data in history – over 100 billion rows of financial, weather, energy, and web data – and democratizes the power of time-series analysis.
nixtlats
How has this been tested?
Tested multiple commands with different time series.
Checklist:
feature/feature-name
orhotfix/hotfix-name
.Others