-
fcst_df = nixtla_client.forecast(train, h=7, freq = 'B' , time_col = 'ds', target_col='Close', add_history=False,level=[80, 90])
If my training data has late date as of date :
2024-04-18
as I …
-
Would it be possible to add TimeGPT to modeltime?
It's easy to call the API using httr package in R. There also is a Python SDK: https://docs.nixtla.io/reference/timegpt_timegpt_post.
The fable …
-
https://docs.nixtla.io/docs/anomaly_detection
-
Train model with data from Binance Connector (Try using KLines for now).
-
How does TimeGPT deal with the missing y data? Could you please give a way to deal with it? Thank you so much!
-
In the quickstart guide vhen I use the exemple
nixtla_client.plot(df, timegpt_fcst_df, time_col='timestamp', target_col='value')
No plot is showing on my screen, is this normal ?
How can I resolv…
-
This may be a naive question as I am not a developer ...
After installing nixtlats (via !pip install nixtlats on jupyter notebook), I was trying the simple codes provided but got the following erro…
-
### Short description of current behavior
This applies to both StatsForecast and TimeGPT models:
Created models and trained them with the historical_expenditures data. Then, wanted to make predict…
-
## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
1 month ago
-
When I follow the steps of readme, KeyError: 'TIMEGPT_TOKEN' bug will appear. Please can you tell me how can I solve it?