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A bug when importing pytorch_forecasting

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- PyTorch-Forecasting version: 1.0.0 - Torch version: 2.1.2 - Python version: 3.9.19 - Operating System: Windows 64 ### Expected behavior I executed code `from pytorch_forecasting.models.temporal_fusion_transformer.tuning import optimize_hyperparameters` but have the...

Exgoneous features in Automodels

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### Description Hello! I am trying to use Automodels to automatically tune the parameters. However, I found the document confusing because I do not know how to specify the exogenous...

Use gpu to speed up training

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### Description Hello, I am using TFT to train a forecast model. I wonder how can I use GPU to speed up my training process? It seems unclear in the...

Does boruta apply to time series data?

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Hello, I found Boruta really helpful in boosting my model performance. However, I have a question that can Boruta apply to time series data?

Hello! Thanks for your great paper and sharing the codes. I have a question about the languages it supports. Does it apply to other languages, such as Chinese? Thanks!

How to speed up the algorithm?

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I found the process extremely slow when having many features. How can I speed up the process? Can I use the GPU to accelerate?

Get different performances on different devices

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### What happened + What you expected to happen Hello, I am using MLforecast, specifically xgboost for a forecasting task. Recently I have found that the same code and data...

Hello, I found iTransformer really impressive and it had potentials for my own task. I have a question that, how can iTransformer be applied to mixed frequency data? That is,...