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This issue is to track work items related to the reducers in `forecasting.compose._reduce`.
### current reducer
#### simplification
* local/global branches seem duplicative. This should be sp…
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I use the following data format for time series forecasting.The data is on the half-hour dimension,and the forecasted column is `NextTimeCount`.
Use data from the past 24 hours or more to predict …
cgyqu updated
3 years ago
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- PyTorch-Forecasting version: 0.10.3
- PyTorch version: 1.12.1
- Python version: 3.10.6
- Operating System: 20.04.5 LTS
### Expected behaviour
I want to train a TFT model using the MQF2Distr…
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Hi
The length of my monthly dataset is 387. Specifically, I plan to divide the data as follows: the first 351 observations will constitute the training data, observations 352 to 375 will form the val…
jijo7 updated
10 months ago
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Close compare county level emissions, VMT from different sources over time, including
- StreetLight
- MnDOT/WisDOT
- EPA NEI
- EPA LGGIT
- EPA MOVES
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I think we need a small design document for the rework of the reducers. FYI @danbartl, given recent discussions.
Cases we should cover with modular design:
* lagging `X` and lagging `y`, lagging…
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Hi @oguiza,
Thanks again for the tsai library.
I’m having an issue with the TSTPlus model. The dropout for the fully connected head (fc_dropout) seems to have no affect on the training. I can set …
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**Note:** This is not a direct feature request but some questions, feature requests can be derived from those. I am posting them here since it is the only place I know where actual experienced contrib…
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#### Describe the issue linked to the documentation
There are broken links in the table of contents in the following notebook: https://github.com/alan-turing-institute/sktime/blob/main/examples/01_fo…
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**Describe the bug**
This could be a bug, or it might just be that users need better guardrails/examples about the appropriate use of grid searching methods in hyper-parameter tuning. As the examples…