Skip to content

Latest commit

 

History

History
89 lines (62 loc) · 3.42 KB

CHANGELOG.md

File metadata and controls

89 lines (62 loc) · 3.42 KB

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

unreleased

Added

  • Add coords_crs and graph_crs arguments to allow for using lat-lons coordinates or other CRSs as input. These are then converted to the specific CRS used when constructing the graph. #32, @joeloskarsson

Changed

  • Change coordinate input to array of shape [N_grid_points, 2] (was previously [2, Ny, Nx]), to allow for non-regularly gridded coordinates #32, @joeloskarsson

Fixed

  • Fix crash when trying to create flat multiscale graphs with >= 3 levels #41, @joeloskarsson

v0.2.0

Added

  • added github pull-request template to ease contribution and review process #18, @joeloskarsson

  • Allow for specifying relative distance as rel_max_dist when connecting nodes using within_radius method. #19 @joeloskarsson

  • save.to_pyg can now handle any number of 1D or 2D edge or node features when converting pytorch-geometric Data objects to torch.Tensor objects. #31 @maxiimilian

  • Add containing_rectangle graph connection method for m2g edges #28 @joeloskarsson

Changed

  • Create different number of mesh nodes in x- and y-direction. #21 @joeloskarsson

  • Changed the refinement_factor argument into two: a grid_refinement_factor and a level_refinement_factor. #19 @joeloskarsson

  • Connect grid nodes only to the bottom level of hierarchical mesh graphs. #19 @joeloskarsson

  • Change default archetypes to match the graph creation from neural-lam. #19 @joeloskarsson

Fixed

  • Fix attribute keyword bug in save function #35 @joeloskarsson

  • Fix wrong number of mesh levels when grid is multiple of refinement factor #26 @joeloskarsson

Maintenance

  • Ensure that cell execution doesn't time out when building jupyterbook based documentation #25, @leifdenby

v0.1.0

First tagged release of weather-model-graphs which includes functionality to create three graph archetypes (Keisler nearest-neighbour, GraphCast multi-range and Oskarsson hierarchical graphs) deliniating the different connectivity options, background on graph-based data-driven models, 2D plotting utilities, JupyterBook based documentation. In this version the graph assumes grid coordinates are Cartesian coordinates.