TimeGPT Excel Add-in Support
TimeGPT Excel Add-in
Access token required
The TimeGPT Excel Add-in requires an access token. Get your token on the Nixtla Dashboard.
Support
If you have questions or need support, please email [email protected].
How-to
Settings
If it is your first time using the add-in, a welcome screen will guide you to a settings screen to configure your access token.
To access the setting later, click the three dots in the top right and click Settings
.
Data Requirements
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All data inputs must exist in the same worksheet. The add-in does not support forecasting using multiple worksheets.
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Time series and exogenous variables (optional) must exist in their own columns. Values that you want predicted can be left blank.
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Headers are optional.
Example:
timestamp | value | exogenous1 | exogenous2 |
---|---|---|---|
12/1/2016 0:00 | 72 | 61507 | 71066 |
12/1/16 1:00 | 65.8 | 59528 | 67311 |
12/1/16 2:00 | 59.99 | 58812 | 67470 |
12/1/16 3:00 | 50.69 | 57676 | 64529 |
12/1/16 4:00 | 52.58 | 56804 | 62773 |
12/1/16 5:00 | 65.05 | 58491 | 63780 |
12/1/16 6:00 | 80.4 | 61622 | 68346 |
12/1/16 7:00 | 200 | 68070 | 76799 |
12/1/16 8:00 | 200.63 | 70490 | 81312 |
12/1/16 9:00 | 155.47 | 70187 | 80506 |
12/1/16 10:00 | 150.91 | 68304 | 80066 |
12/1/16 11:00 | 66789 | 78745 | |
12/1/16 12:00 | 65456 | 77975 | |
12/1/16 13:00 | 64818 | 77031 | |
12/1/16 14:00 | 63390 | 73875 | |
12/1/16 15:00 | 63135 | 71576 | |
12/1/16 16:00 | 63316 | 70560 |
Forecasting
Once you've configured your token and formatted your input data then you're all ready to forecast!
With the add-in open, configure the forecasting settings by selecting the column for each input.
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Timestamps - The column of the timeseries timestamps
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Values - The column of the timeseries values for each point in time
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Exogenous Variable(s) - The exogenous variables for each point in time. This should also include forecasting horizon (fh) additional timestamps to calculate the future values.
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Frequency - The frequency of the data
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Frequency Horizon - The forecasting horizon. This represents the number of time steps into the future that the forecast should predict. This is usually the number of empty cells in the value column.
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Finetune Steps (advanced) - The number of tuning steps used to train the large time model on the data. Set this value to 0 for zero-shot inference, i.e., to make predictions without any further model tuning.
When you're ready, click Run Forecast to generate the predicted values. The add-in will generate a new worksheet with the prediced values and a chart depicting the forecast.
Updated 4 months ago