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## Background
The different models that can be trained in Neural-LAM are currently all sub-classes of `pytorch_lightning.LightningModule`. In particular, much of the functionality sits in the first …
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Hi,
Being used to custom tensorflow models for time series forecasting, I got a bit puzzled about how known future data are handled here. I usually use dataframe shifts applied to these know features…
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Hello,
I want to forecast electricity demand. It typically has some daily and weekly seasonal pattern. Therefore, some people claim, one might use a double seasonal ARIMA approach.
I wonder, whe…
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As part of our ongoing efforts to improve the performance and accuracy of our predictive models, we need to evaluate a variety of machine learning and deep learning algorithms. Here's a list of models…
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- PyTorch-Forecasting version: `1.0.0`
- PyTorch version: `2.1.0`
- Python version: `3.10.10`
- Operating System: OS X
There is currently no example about how to set up any model to predict mu…
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Hi I am trying som of statsmodels Time series models and noticed that for some of them there are no instructions on how to obtain out-of-sample forecasts. I am particularly interested in SARIMAX and D…
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**Submitting author:** @pat-alt (Patrick Altmeyer)
**Repository:** https://github.com/pat-alt/LaplaceRedux.jl
**Branch with paper.md** (empty if default branch):
**Version:**
**Editor:** @matbesanco…