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### What happened + What you expected to happen
Is it possible in Nixtla to use the predict method to extend the forecasting over the whole test set length? e.g. train a NeuralForecast model to predi…
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### Is your feature request related to a problem? Please describe.
Amazon, as a leading e-commerce platform, handles an enormous volume of sales data across a wide range of product categories. Extrac…
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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 produced different results…
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Collecting links to some issues on foundation models, pre-trained models, and related interface discussions.
### specific foundation models and marketplaces
* hugging face pretrained models http…
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## TL;DR
- It is hard to encode/decode batches of time series in MLServer
- An idiomatic example would be helpful
- An new content type and/or inference runtime could help even more
## Descripti…
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- PyTorch-Forecasting version: 0.10.2
- PyTorch version: 2.0.1
- Python version: 3.11
- Operating System: macOS 13.4
### Expected behavior
I expect my code to compile, but I get an error.
…
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Hi
Im trying to run deep learning optimisation using optuna. It works fine if I have n_trails=1 however if I increase that number to say 2 I get a error AttributeError: _model_call. I have enough c…
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Hi Team,
Thanks for your great work! I'm currently working with the TimeLLM model as described in your ICLR paper, "Time-LLM: Forecasting and Understanding Time Series with Pretrained Language Mode…
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This was mentioned in some other issues that have now been closed following the first release of time series functionality.
We currently use ARIMA with linear regressors. There may be better algori…
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As flagged in #163 we need to review this as a complete session