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Utilities for training and visualizations #143
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arccnet/models/dataset_utils.py
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Probably best to not have this hard coded
arccnet/models/dataset_utils.py
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read from config - or pass as variable
arccnet/models/dataset_utils.py
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Maybe use units or failing that np.radtodeg or np.degtorad
arccnet/models/train_utils.py
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Same as above
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Eh looks much better the example code is evaluated so it has to run which is why the test are failing. The examples are great but don't need them on every function if it not trivial to setup the variables etc |
arccnet/models/tests/test_utils.py
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This shouldn't be necessary
| if __name__ == "__main__": | |
| pytest.main([__file__]) |
setup.cfg
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We need a strategy here specifically if we change a major version 1.x.y to 2.x.y probably need rerun the dataset generation and training
arccnet/catalogs/flares/helio.py
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So this is a sunpy version update change so need to be careful with these
arccnet/models/labels.py
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If these should be treated as constants would usually uppercase them?
… be should be treated as constants
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