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import evaluate | |
import numpy as np | |
accuracyk = evaluate.load("./accuracyk.py", use_auth_token=True) | |
predictions = np.array([ | |
[0, 7, 1, 3, 5], | |
[0, 2, 9, 8, 4], | |
[8, 4, 0, 1, 3], | |
]) | |
references = np.array([ | |
3, | |
4, | |
0 | |
]) | |
results = accuracyk.compute(predictions=predictions, references=references) | |
print(results) | |
predictions = [ | |
[0, 7, 1, 3, 5], | |
[0, 2, 9, 8, 4], | |
[8, 4, 0, 1, 3], | |
] | |
references = [3, 5, 0] | |
results = accuracyk.compute(predictions=predictions, references=references) | |
predictions = np.array([ 3, 8, 1 ]) | |
references = np.array([ 3, 4, 0 ]) | |
results = accuracyk.compute(predictions=np.expand_dims(predictions, axis=1), references=references) | |
print(results) | |