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**Describe the solution you'd like**
Add all missing examples based on roadmap
- Ran…
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Migrate the feature extraction implementation from PyTorch to Tensorflow, due to some reasons:
- Test if there is some performance gains
- Making available a version with Tensorflow
- Understand …
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I'm building a timeseries forecasting system using the scikit-fuzzy, and already have a set of antecedents and some rules, and I would like to know if it's possible to assign weight for a specific ant…
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As an AIFES researcher I want to be able to have a testbed setup which allows me to easily and quickly iterate over different forecasting pipelines*, so I can compare many forecasting pipelines* and d…
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I'm trying to implement the package you created. I have to say it is very transparently written and easy to read.
However, I have a strange observation. The model has not been able to learn anyth…
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**Is your feature request related to a current problem? Please describe.**
There is a growing trend in using large, pre-trained neural models for zero shot forecasting. There is a whole family of mod…
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I am just testing **Forecasting-Sales** project. I have reduced the csv file to just one product (product 11) having four years data of 2015,2016,2017,2018 ...(In the Image below data of year 2017 and…
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I use the column filename to indicate my different timeseries (see loader code at the bottom). During testing, I am trying to match predictions with predictions with the original dataset. All is g…
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- PyTorch-Forecasting version: 0.10.3
- PyTorch version: 1.12.1
- Python version: 3.8
- Operating System: Ubuntu 20.04
### Expected behavior
I created a simple `TimeSeriesDataset` without spe…
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lib/python3.9/site-packages/pytorch_forecasting/data/timeseries.py:1657: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single…