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We should think about how best to resolve the partial duplications between `sktime` and `skpro` related to probability distributions and metrics, in terms of end state and transition strategy. Quickly…
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1. How to select an ideal forecasting method? (~ Ward et al. 2014)
* evaluate forecasting approaches across different time series
* do time series properties influence which methods (or para…
ha0ye updated
5 years ago
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Thank you for providing the source code of your models in Pytorch-TS. I was trying to reproduce the experimental results (right now mainly for TransformerMAF). I found some hyperparameter specificatio…
siqil updated
2 years ago
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**Description:**
I am proposing an enhancement for the `Forecaster` class in the `functime` library, specifically to support setting `lags=0` in classes that inherit from `Forecaster`, such as `lin…
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I have the following data:
```
ds unique_id y
0 2003-01-01 Bigeye Tuna 1561.149362
1 2003-01-01 Bluefin Tuna 9619.000000
2 2003-01-01 Southern Bluefin Tuna 3656.876812
3 20…
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### Describe the feature you want to add to this project
sktime project is splitting into 2 parallel projects (see [link](https://github.com/mloning/sktime-deprecation/discussions/1)). With this ch…
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# Using FZF to select files for any program or command | Matthew Bennett
I am a data scientist working on time series forecasting (using R and Python 3) at the London Ambulance Service NHS Trust. I e…
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Hi,
I am interested in using the iTransformer model for a project and had a question about its input capabilities. Does the iTransformer support dynamic categorical inputs? If so, could you provide…
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**Use Chronos and Moirai language models**
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Hello,
Thank you for this great job.
May I ask for tips how to incorporate this with an LSTM model for time series forecasting (energy price forecasting)?
Thank you