v0.1.0

What's Changed

• Add keywords in setup.cfg by @lyashevska in #7
• Add data .gitignore by @lyashevska in #17
• Remove placeholder files by @abelsiqueira in #21
• Add fake point cloud radar data generator by @abelsiqueira in #23
• Fix links so that markdown-lint passes by @abelsiqueira in #25
• Compute column feat3 of the fake data in a better way and improve documentation by @abelsiqueira in #28
• Add RadarDataset class by @abelsiqueira in #30
• Add PULL_REQUEST_TEMPLATE by @abelsiqueira in #36
• Change pre-commit hooks to use package pre-commit by @abelsiqueira in #38
• Set sonar.python.version to 3 by @abelsiqueira in #41
• Short update to README.dev.md by @abelsiqueira in #43
• Add black formatter by @abelsiqueira in #40
• Add initial gnn pipeline by @lyashevska in #22
• Fix issue using str for dataset creation by @abelsiqueira in #53
• Add parameter max_edge_distance to control when to create an edge between nodes in the graphs by @abelsiqueira in #56
• Ignore django not configured in pylint by @lyashevska in #58
• Add prospector and isort to pre-commit.ci skip, since they are being run already by @abelsiqueira in #61
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #70
• Implements reading .csv.gz by RadarDataset and test by @abelsiqueira in #71
• Fix indexing of points of interest in RadarDataset by @abelsiqueira in #81
• Speed improvements to RadarDataset by @abelsiqueira in #85
• import from single file and pandas by @bart1 in #86
• add the option to calculate centered x y features by @bart1 in #92
• Changes definition of point of interest and limits the number of POIs by @abelsiqueira in #93
• add origin tracking by @bart1 in #95
• Add origin and max_edge_distance to RadarDataset cache by @abelsiqueira in #98
• Implement kfold function by @abelsiqueira in #96
• Add Leave one origin out cross validation by @abelsiqueira in #101
• Accept empty datasets by @abelsiqueira in #103
• add inference method by @bart1 in #106
• Add progress bar to RadarDataset by @abelsiqueira in #111
• Implement fit_and_evaluate and callbacks by @abelsiqueira in #112
• Skip files that don't have enough points to create a neighbourhood by @abelsiqueira in #109
• forward arguments for naming #117 by @bart1 in #118
• Rename num_neighbours to num_nodes by @abelsiqueira in #119
• Add histograms and rates to tensorboard and generale output function by @bart1 in #122
• Don't use the tree when num_nodes equals 1 by @abelsiqueira in #121
• make points_of interest option by @bart1 in #123
• Implement missing indicator features by @abelsiqueira in #124
• Update cross_validation.py by @bart1 in #126
• Add oneline_description for model and dataset by @abelsiqueira in #128
• Add option to connect all nodes to poi by @abelsiqueira in #125
• Implement scheduler to change learning rate by @abelsiqueira in #129
• Skip cache by @bart1 in #130
• Dynamic layers by @lyashevska in #138
• Release v0.1.0 by @lyashevska in #142

New Contributors

• @lyashevska made their first contribution in #7
• @abelsiqueira made their first contribution in #21
• @pre-commit-ci made their first contribution in #70
• @bart1 made their first contribution in #86

Full Changelog: https://github.com/point-cloud-radar/bird-cloud-gnn/commits/v0.1.0