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Hello! I have been trying alot to get a model to predict well on some electricity data. I have tried several models (but not all yet), and TCN is one of the ones that performs the best.
The model a…
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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 there, I have been using N-Beats and NHiTS for univariate time series forecasting with several past covariates. When I read the documentation of N-Beats and/or NHiTS, it mentioned that
> the im…
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### Describe the workflow you want to enable
Enable users to perform robust anomaly detection using the Robust Random Cut Forest (RRCF) algorithm within the scikit-learn library.
### Describe yo…
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Hi, I like this a lot and have looked jealously at R for the scoringRules package for long time. Once I've understood how the backends work in detail, I'd like to add a few scoring rules. I've worked…
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Current `TimeSeriesPredictor` only produce one horizon forward predictions after last time of test_data for each item.
I see docs mention below models,
```
DirectTabularModel
- Predict all futur…
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**Is your feature request related to a current problem? Please describe.**
It would be great to get the properties listed in [the nice table in the README](https://github.com/unit8co/darts?tab=readme…
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Tried running test_energy.py since attempts on a multivariate forecast weren't conclusive. Ran the test code as provided here. Code returned the following error :
----------------------------------…
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(shorter MRE by @bbhushan-ds moved here for simplicity)
`AutoETS` predict is giving different result on different OS and I have checked all my libraries are same. If we run this simple program on W…
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As discussed offline, we should conduct a more thorough study on what performance impact we can expect (on holdout set) when using the `train set` error as a basis for choosing the best model as oppos…