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MFLES
Initialize self. See help(type(self)) for accurate signature.
🚀 TimeGPT-2 is here, the next generation of foundation models for time series forecasting! Read the full announcement
- TimeGPT
- StatsForecast
- MLForecast
- NeuralForecast
- HierarchicalForecast
- UtilsForecast
- DatasetsForecast
- CoreForecast
Tutorials
How to Guides
Experiments
Model References
- ADIDA Model
- ARCH Model
- ARIMA Model
- AutoARIMA Model
- AutoCES Model
- AutoETS Model
- AutoRegressive Model
- AutoTheta Model
- CrostonClassic Model
- CrostonOptimized Model
- CrostonSBA Model
- Dynamic Optimized Theta Model
- Dynamic Standard Theta Model
- GARCH Model
- Holt Model
- Holt Winters Model
- IMAPA Model
- MFLES
- Multiple Seasonal Trend (MSTL)
- Optimized Theta Model
- Seasonal Exponential Smoothing Model
- Seasonal Exponential Smoothing Optimized Model
- Simple Exponential Smoothing Optimized Model
- Simple Exponential Smoothing Model
- Standard Theta Model
- TSB Model
MFLES model
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