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Hello, my time series data has some large missing gaps, I was wondering if it is possible to remove the rows with missing value instead of applying data interpolation methods to clean the data? Should…
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**Combine neural nets with statistical models**
Some papers/competitions have shown that combining statistical models with neural networks can increase accuracy. An example is the winner of the M4-co…
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This library is awesome, a big thank you for all of your hard work for creating something that's super useful! May I please have your help with the following?
tl-dr: returned target from data loa…
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**Submitting author:** @https://github.com/josemanuel22 (José Manuel de Frutos)
**Repository:** https://github.com/josemanuel22/ISL
**Branch with paper.md** (empty if default branch):
**Version:** v0…
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- PyTorch-Forecasting version: 0.10.2
- PyTorch version: 1.12.0
- Python version: 3.9.12
- Operating System: Ubuntu 20.04 LTS
### Expected behavior
I am training a DeepAR model and monitor it…
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I tried making the target stationary to account for extrapolation issues with tree-based models but encountered a frequency inference error and had to manually set a frequency of "30min".
https://…
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Hi,
I've noticed that some of the generated features exhibit look-ahead bias, which is critical and must be avoided in machine learning regression problems. Specifically, the features in X_train co…
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Hi Matt,
Requesting for you to add k-fold and ts-fold feature to your nested forecasting. I am starting to use the nested forecasting a lot but I get poor results if the recent couple months (my t…
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To properly handle time-series (and time-dependent data in general), we should implement a Rolling Cross-validation to add to our existing CV & TrainTest modes.
We are currently merging various tim…
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# Time Series Analysis and Forecasting with FB Prophet Python - Model Differently
[https://www.modeldifferently.com/en/2022/04/analisis_prediccion_ts_prophet/](https://www.modeldifferently.com/en/2…