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all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 20
#10
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attilaimre99 opened this issue
Sep 10, 2022
· 2 comments
I've been exploring some self-made datasets and I've managed to get the project up'n running fine. The training runs well except sometimes this error happens:
F1 Score: 0.764872521246459
Accuracy: 0.7331189710610932
MCC: 0.48423538939278077
Precision: 0.6835443037974683
Recall: 0.8681672025723473
ROC AUC: 0.7331189710610932
Epoch 215 | Test Loss 0.5649742603302002
Early stopping due to no improvement.
0%| | 0/100 [14:09<?, ?it/s]
Traceback (most recent call last):
File "train.py", line 191, in <module>
results = tuner.minimize()
File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 153, in minimize
return self.run()
File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 140, in run
self.results = self.runBayesianOptimizer()
File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 263, in runBayesianOptimizer
X_sample = np.vstack((X_sample, X_next_batch))
File "<__array_function__ internals>", line 6, in vstack
File "/opt/conda/lib/python3.7/site-packages/numpy/core/shape_base.py", line 282, in vstack
return _nx.concatenate(arrs, 0)
File "<__array_function__ internals>", line 6, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 20
As you can see this happens at the 0th epoch.
The text was updated successfully, but these errors were encountered:
Hi!
I've been exploring some self-made datasets and I've managed to get the project up'n running fine. The training runs well except sometimes this error happens:
As you can see this happens at the 0th epoch.
The text was updated successfully, but these errors were encountered: