Kevin
Kevin
- 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...
### 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...
### 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...
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!
I found the process extremely slow when having many features. How can I speed up the process? Can I use the GPU to accelerate?
### 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,...
训练时速度比较快，但是evaluating速度特别慢，已经使用了GPU训练且提高了eval_batch_size Thu 24 Apr 2025 06:41:52 INFO epoch 47 training [time: 14.42s, train loss: 142.7265] Thu 24 Apr 2025 08:08:55 INFO epoch 47 evaluating [time: 5223.20s, valid_score: 0.003500] Thu 24...
Hello, I found neural prophet quite useful in my task and would like to thank the authors. However, I have a question about the selection of lagged and future regressors....