-
Hi! In our statistical institute here in South Tyrol we are trying to use Jdemetra also to make forecasts. This function is not very well documented. Would you perhaps have some more info for us to us…
-
Hi ! Thank you for your interesting work. In some scenarios such as anomaly detection, how to modify the forecasting decoder into a reconstructed decoder while matching the dimensions of the input (B,…
-
Found some good paper, will they be a good addition?
TimeLLM : [Paper](https://arxiv.org/abs/2310.01728) . [Code](https://github.com/KimMeen/Time-LLM)
-
# Strong Lensing Forecasting
Work on a joint-probe likelihood implementation in Firecrown.
Contacts: Sydney Erickson, Tian Li, Phil Holloway
Day/Time: Mornings Pacific / Afternoons Europe
Main…
-
**Describe the bug**
The tag capability:global_forecasting is not added for regression based forecasters.
For example, RecursiveTabularRegressionForecaster does not have the tag, while global foreca…
-
Zomato is a popular mobile application in India that connects customers to nearby food chains by providing their delivery persons. It is essential to have a rough estimate of how much preparation woul…
-
As a Team Lead, I want to predict future examiner workload based on current queues and trends, so that I can plan resource allocation and maintain efficient processing times.
-
Hello, let me preface this by saying thanks to you and your team for the great work, congratulations.
I am a student experimenting with time series forecasting using deep learning methods. Followi…
-
### 1. Model description
Autoformer, Transformer and Fedformer should be included in PyPOTS as an forecasting model.
```
@article{wu2021autoformer,
title={Autoformer: Decomposition transformers …
-