Upload a CSV with unique_id, ds, and y columns to apply forecasting models.
Disclaimer: For simplicity, this app does not allow the use of external predictors.
However, they can be easily included in the underlying statsforecast (for AutoARIMA)
and the TimeGPT implementation by Nixtla. To use external predictors, you would need to modify
the code to include them in your forecasting models.
Data Frequency
Fixed Window Settings
1100
Cross Validation Settings
150
120
Future Forecast Settings
1100
Basic Models
Seasonality Configuration
This seasonality period affects Seasonal Naive, Seasonal Window Average, AutoETS, and AutoARIMA models
Seasonal Models
Window-based Models
Advanced Models (use seasonality from above)
TimeGPT Model
TimeGPT uses a transformer architecture for state-of-the-art time series forecasting
TimeGPT Configuration
Finetune Loss Metric
5099
Note: Using TimeGPT requires a valid API key. The API key should
be set as an environment variable named NIXTLA_API_KEY. This space uses a trial key, which is rate limited.