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Direct method for multistep forecasts is building a model for each time step into the future and then combining them. Modeltime has the potential to create multiple models for each future time step …
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Currently `ForecastMultiSeriesCustom` and `ForecastMultiSeries` implement a recursive approach to multi-series forecasting. `ForecastMultiVariate` implements a direct forecasting approach for multivar…
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### Description
Currently mlforecast support the recursive and direct multi steps forecasting strategies. A good trade off between the two strategies is add a column which indicates the forecasting h…
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Hi authors,
Thanks for your interesting work.
I have some issues. Your paper cites the TimesNet paper results as a direct comparison but your setting is inconsistent with the setting of TimesNe…
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### Ticket Contents
## Protean Overview
Protean eGov Technologies Limited provides IT services. The Company offers citizen services, e-governance solutions, system integration, business process re…
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**Is your feature request related to a current problem? Please describe.**
When using a mixture of local and global models, the user needs to distinguish the model types.
Here's a list of pract…
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**Describe the bug**
When fitting N models one for each forecasting horizon using **make_reduction** with **strategy="direct"** and **pooling="global"**, the dataset that is used to train the model…
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PyAF uses an **iterated one-step ahead forecasting**, that is , the same model (signal transformation + signal decomposition) forecast is iterated one-step at a time.
Other forecasting strategies d…
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**Describe the bug**
I am not totally sure this a bug. I was wondering why some models where running for a very long time, and I've traced it partly to the `strategy` parameter. I had expected that t…
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### Initial request
I refer to the [Application Areas Codes list in the WMDR](http://codes.wmo.int/wmdr/_ApplicationArea).
INFCOM-2 recommended changes to WIGOS Manual in relation to the evolved Ro…