Deepsensor

What's Changed
* Add `Trainer` class that tracks optimiser object to speed up training
* New `diff` boolean kwarg for `GreedyAlgorithm.__call__` to compute difference after adding query context point

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.10...v0.1.11

What's Changed
* Minor bugfix in `TaskLoader` `aux_at_contexts` functionality

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.9...v0.1.10

What's Changed
* Fix bug in `TaskLoader.load_dask` (thanks magnusross)
* Handle dates with no pairs of stations in `compute_pandas_data_resolution`

Breaking changes
* The `TaskLoader.__init__` `aux_at_contexts` arg is no longer a tuple of `(int, xarray.DataArray`), and is now just an xarray object that will be automatically sampled at the off-grid context locations from all context sets.

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.8...v0.1.9

What's Changed
* Compute analogue of resolution for scattered pandas data for inferring default `ConvNP` internal grid resolution
* Allow sampling auxiliary data at locations of another context set in `TaskLoader` with `aux_at_contexts` kwarg in `TaskLoader.__init__`
* `deepsensor.plot.offgrid_context_observations` utility to plot context observation numerical values
* Fix bug in concatenating/batching `Task` objects with gridded data (thanks patel-zeel)
* Support active learning with `aux_at_targets` downscaling functionality by RohitRathore1 in https://github.com/tom-andersson/deepsensor/pull/35
* Unified (single) progress bar during active learning with `GreedyAlgorithm`

**Breaking changes**
* Update `DataProcessor` config to store user-provided normalisation method for each variable

Contributors

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.7...v0.1.8

What's Changed
* Minor bugfixes in `deepsensor.active_learning.acquisition_fn`

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.6...v0.1.7

What's Changed
* Downscaling using auxiliary output MLP
* Assign maximisation/minimisation attr to each `AcquisitionFunction` so the user doesn't need to decide (thanks jonas-scholz123 polpel)

**Full Changelog**: https://github.com/tom-andersson/deepsensor/compare/v0.1.5...v0.1.6