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**Describe the bug**
When clustering multivariate timeseries, KShapes returns the same cluster center for each dimension. When I generate 3-dimensional timeseries of 8 catogeries, TimeSeriesKMeans fi…
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HI! it is possibile to use your model for multivariate timeseries forecasting?
I want to predict one series with the help of other series
Thank you!.
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### What happened + What you expected to happen
Hello, thank you for your amazing work. I would like to use it in my research with timeseries.
I woud like to train a model to predict 3D timeseries f…
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Evolve (shapelet, k) with k the channel from which it must be extracted
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Hello,
Thank you very much for disseminating openly your work and code.
I am trying to reproduce the classification notebook. It seems there is a bug in the ClassificationDataset class when loa…
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- PyTorch-Forecasting version: 0.9.1
- PyTorch version: 1.10.0
- Python version: 3.7.11
- Operating System: Linux Ubuntu
I am using the Pytorch Forecasting DeepAR Model for forecasting a multiv…
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**Is your feature request related to a problem? Please describe.**
Complexity of preprocessing/transforming data for LSTM networks.
**Describe the use case**
Most timeseries data come in the form…
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From what I see in the data of the repository and the repository of the [author](https://github.com/7fantasysz/MSCRED) the data have the following shape :
**(number of time series * lenght of time…
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From what I see in the data of this repository the data have the following shape :
**(number of time series * lenght of time series)**
However a multivatiate time serie should have the followi…
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Scoringutils currently treats timeseries as independent when we score them. When you score forecasts for different locations, timeseries are correlated in a way that we don't take into account.
Ex…