Related Issues (20)
- Remove Fake BatchML
- Normalize pv and gsp coords HOT 2
- Load 2 batches at once HOT 2
- Standarise x and y osgb names
- Run CI every Monday HOT 2
- Changes required to support Power Perceiver
- `SatelliteML`: Change `x` and `y` to `x_geostationary` and `y_geostationary`, and include `x_osgb` and `y_osgb` HOT 2
- Failing test: `tests/test_position_encoding.py::test_batch_encoding` HOT 5
- Subselect doesn't work without the metadata in Batch HOT 4
- Update NWP fake data
- GSP Position Encodings are not sliced correctly
- GSP plotting time axis HOT 8
- Update branch pytest workflow
- Speed up Position Encodings HOT 4
- Rename dims to data_vars
- Move Position Encoding to BatchML
- `normalise()` should have consistent behaviour across DataSources: It should give mean=0 and std=1. HOT 3
- Automatically check that data is normalised roughly correctly for each batch
- Tidy batch code
- use `float32` for `nwp`, `sat_data`, and `hrv_sat_data`?
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