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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: 2.0.0
- Python version: 3.10.0
- Operating System: MacOS Ventura 13.3.1 (a) - M1 architecture
I executed the example ar.py in an M1 compu…
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Examples
- [project_import_export.py](https://github.com/nccr-itmo/FEDOT/blob/master/examples/project_import_export.py) (also should be refactored as function)
simple
- [run_import_expor…
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## Pain Point
Currently, we do not have any commonly used time-series datasets available in dffml
## Proposed Solution
Write a dataset source (like we have [iris dataset](https://github.com/…
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Create a new Forecasting section of the application. Within the forecasting area, create a page where users can create custom data features from the price/volume time series data. Examples of such fea…
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**Describe the bug**
I am experimenting with the LightGBM model and trying to backtest using the `historical_forecasts` method. However, it appears that when I use the `historical_forecasts` method i…
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At least check the possibility of using pyaf in this context.
pyaf is not aware of the data source type (time series database or web service, etc) as long as the dataset is stored in a pandas datafra…
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I don't have an issue for it yet so this is just to collect some links without having to edit the readme:
- [How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls](ht…
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#### Suggest a potential alternative/fix
I have seen your notebook of time series forecasting. However, I am missing an example with multiple seasonalities, for example: weekly and yearly.