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# Description
Dear community,
I am currently working in a probabilistic extension of XGBoost that models all parameters of a distribution. This allows to create probabilistic forecasts from whic…
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### Environment Details
- PyTorch-Forecasting version: 0.8.5
- PyTorch version: 1.8.1+cu101
- Python version: 3.7.10
- Operating System: Google Colab web platform
### Expected behavior
Tim…
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**Submitting author:** @PTierz (Pablo Tierz Lopez)
**Repository:** https://github.com/BritishGeologicalSurvey/pyvolcans
**Version:** v1.3.2
**Editor:** @elbeejay
**Reviewer:** @jifarquharson, @meghanr…
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# Challenge #26 - Forecasting wildfire danger using deep learning
> Stream 2 - Machine-Learning and Artificial Intelligence
> **IMPORTANT**: this challenge is eligible to apply for cloud credi…
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@kathsherratt, my understanding is that you started something like this?
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## Description
For probabilistic modeling, pytorch has the `distributions` module, and tensorflow has the `tensorflow_probability` package. I haven't seen something similar for MXNet. The closest I…
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Thanks again Ngboost for a wonderful package. I wanted to ask whether the Ngboost algorithm was compatible with multiple output regression, similar to [Catboost's functionality here.](https://github.…
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in the long run we need to establish a way to rigorously assess model performance relative to submissions by other participants in the covid 19 forecast hub
in the short term, we need to put togeth…
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`M-x org-roam-tag-add` can't find the roam_tags variable if has no tags i.e. it misses "#+roam_tags:". It does find non-empty roam_tags strings, but it changes the "#+roam_tags" part from lower to …
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I have a bib file containing IEEEtran format patent references. Would it be possible for org-ref to recognize them?
In the bibfile, when put the cursor on one of these @Patent entries, I'm able to…