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**Status**: Backlog
**Priority**: P2
**Estimate**: 12 hours
**Size**: L
**Iteration**: Dec 16 - Dec 29
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All of my projections work and I am able to plot the maps with the results. However, when I try to calculate the areas of greatest change using BIOMOD_RangeSize, it tells me the model outputs need val…
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Hi, I'm currently exploring the use of LLM in time series forecasting and I came across a journal titled "Are Language Models Actually Useful for Time Series Forecasting?" [https://arxiv.org/pdf/240…
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### Description
Hello, I am using mlforecast to train a global forecasting model and reaching an exciting performance. However, I have some questions about the training details of global models. Spec…
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While RNN model only supports future covariates BlockRNN only supports the past covariates.
[https://unit8co.github.io/darts/generated_api/darts.models.forecasting.rnn_model.html?highlight=rnn#dart…
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We are currently planning a maintenance handover of `pytorch-forecasting` to `sktime`. Both packages will remain separate, with `pytorch-forecasting` on the "models" level, and `sktime` providing fram…
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This list is a quick bucket list of items that can be potentially improved from what I've seen in the docs.
As requested by @yarnabrina, we should create simple examples, reducing complexity of th…
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I follow the script in [https://towardsdatascience.com/time-llm-reprogram-an-llm-for-time-series-forecasting-e2558087b8ac](url) to Predicting with Time-LLM using GPT2.
My code is exactly the same as…
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### Description
I have two questions regarding how to handle covariates in Nixtla's MLForecast when performing global forecasting. Although there is rather extensive documentation on this, I am still…
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### Description
It would be great to have a new feature that combines both direct and recursive forecasting strategies within the neuralforecast library. Currently, direct forecasting models like NHI…