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As flagged in #163 we need to review this as a complete session
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Hi, @jagjeet-singh
Thanks for sharing the baseline code. I'm trying to train the LSTM Social model and evaluate on the validation set.
The results of LSTM Social model on validation set are worse …
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- PyTorch-Forecasting version: 0.8.4
- PyTorch version: 1.8.1
- Python version: 3.8
- Operating System: Ubuntu 20.04.2 LTS
### Expected behavior
In order to generate the interpretation plots …
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Eventually, it could be great to have strong "evaluation bodies" that could be forecasted upon.
One first step would just be to set up a few evaluation bodies, and have them make a few group evaluati…
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The proposal is to add recursive feature elimination algorithm for optimizing forecasting models
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Another interesting-looking paper!
https://arxiv.org/abs/2202.11214
To quote the abstract:
> FourCastNet, short for Fourier Forecasting Neural Network, is a global data-driven weather foreca…
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For the API design proposal, see [this wiki entry](https://github.com/alan-turing-institute/sktime/wiki/Forecasting-API-proposal).
## Forecasters
### Atomic
- [x] NaiveForecaster (strategies={"l…
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Isn't it the "object_detections.json" file that we can get from "ego4d_data/v2/sta_models/", like the SlowFast example at https://github.com/EGO4D/forecasting/blob/main/SHORT_TERM_ANTICIPATION.md#prod…
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Hi @aa25desh and welcome to MLJ.jl!
Here are some time series forecasting features I find very valuable:
Check out @robjhyndman's free book on forecasting: https://otexts.com/fpp2/
**Univariate …
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In renewables forecasting, we care about wind speed, solar irradiation at the location of single wind/solar parks. ECMWF IFS with its 0.1deg resolution gives us good forecast performance, but anything…