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Add roadmap
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tom-andersson committed Oct 19, 2023
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DeepSensor Roadmap
==================

..
TODO: write an intro to the roadmap for DeepSensor + link to the GitHub project management board
.. note::
We will soon create a GitHub project board to track progress on these items, which will provide a more up-to-date view of the roadmap.

.. note::
We are unable to provide a timetable for the roadmap due to maintainer time constraints. If you are interested in contributing to the project, check out :doc:`Contributing Guide <contributing>`.

* Improve documentation
* Support patch-wise training and inference
* Support non-Gaussian likelihoods
* Support spatial-only modelling
* Support or explore supporting continuous time measurements (i.e. not just discrete, uniformly sampled data on the same time grid)
* Improve forecasting functionality
* Test the framework with other models (e.g. GPs)
* Add simple baselines models (e.g. linear interpolation, GPs)
* Test and extend support for using ``dask`` in the ``DataProcessor`` and ``TaskLoader``
* Infer linked context-target sets from the ``TaskLoader`` entries, don't require user to explicitly specify ``links`` kwarg
* Improve unit test suite, increase coverage, test more edge cases, etc

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