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doi: 10.5281/zenodo.7996503 , 10.5281/zenodo.8152775 , 10.5281/zenodo.17186328 , 10.5281/zenodo.8064556 , 10.5281/zenodo.8157314 , 10.5281/zenodo.8110125 , 10.5281/zenodo.13333117 , 10.5281/zenodo.8145092 , 10.5281/zenodo.15484834 , 10.5281/zenodo.8133006 , 10.5281/zenodo.8188156 , 10.5281/zenodo.7996502 , 10.5281/zenodo.17186202 , 10.5281/zenodo.8188116 , 10.5281/zenodo.8124931 , 10.5281/zenodo.15307116 , 10.5281/zenodo.10685408 , 10.5281/zenodo.13333116 , 10.5281/zenodo.13228482 , 10.5281/zenodo.8064559
doi: 10.5281/zenodo.7996503 , 10.5281/zenodo.8152775 , 10.5281/zenodo.17186328 , 10.5281/zenodo.8064556 , 10.5281/zenodo.8157314 , 10.5281/zenodo.8110125 , 10.5281/zenodo.13333117 , 10.5281/zenodo.8145092 , 10.5281/zenodo.15484834 , 10.5281/zenodo.8133006 , 10.5281/zenodo.8188156 , 10.5281/zenodo.7996502 , 10.5281/zenodo.17186202 , 10.5281/zenodo.8188116 , 10.5281/zenodo.8124931 , 10.5281/zenodo.15307116 , 10.5281/zenodo.10685408 , 10.5281/zenodo.13333116 , 10.5281/zenodo.13228482 , 10.5281/zenodo.8064559
hdlib v0.1.12 Add: examples/chopin2.py now reports the Accuracy, F1, Precision, Recall, and the Matthews correlation coefficient for each of the folds in addition to the average of these scores as evaluation metrics of the hyperdimensional computing models; model.Model class functions now raise different exceptions based on multiple checks on the input parameters.
If you use this software, please cite it as below.
Library, Hyperdimensional Computing, Vector-Symbolic Architectures, Python
Library, Hyperdimensional Computing, Vector-Symbolic Architectures, Python
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