Daniel G. Krakowczyk
Daniel G. Krakowczyk
One possible workaround is adding those constructor arguments: ``` class ConfigNestedWorkaround(DotMap): def __init__(self, filepath='config.yaml', **kwargs): if type(filepath) in [dict, DotMap]: super().__init__(filepath, **kwargs) return # load config-dict from yaml config_dict =...
As discussed I have left the `**kwargs` in each metric method but raise a `ValueError` with informative text if there are any unexpected keyword arguments passed to the base methods...
I have updated `test_axiomatic_metrics.py` to propose the change we will need to apply to every metric test. https://github.com/dkrako/Quantus/blob/feature/function-specific-kwargs/tests/metrics/test_axiomatic_metrics.py I have nested the `params` dictionary by adding an `init` and `call`...
Thank you very much for the suggestions. I agree, a general MixedComposite is an even more flexible and elegant approach. I think the name is good and describes what the...
Thanks @chr5tphr, good to hear and nevermind the delay. The first steps aren't that complex and you'll review the code either way, so I feel up to it and am...
Sorry for the long delay, my schedule was just too tight during the last weeks (but hopefully you will get a new citation soon as I have used your package...
I have added documentation to the class docstrings and the howto's. I also implemented a first draft of tests for the two new classes. For the `NameLayerMapComposite` I combined the...
I added a `CustomSeriesParam` class, but I have some issues with the resulting tensor shapes after calling `rfft`. They are only half the required length and I'm a bit clueless...
Thanks a lot! The time series I am referring to are not really 2d-images but multi-channel 1d-series. I myself am working mostly with eye tracking data, where you can have...
here is an example colab notebook I have just created: https://colab.research.google.com/drive/152dNe02_MzSzCxQwAfXY7rtvql9NfPKh?usp=sharing It loads and plots some data, trains a simple 1d-cnn. the `AutoSeriesParam` renders the image successfully, but the `CustomSeriesParam`...