wehub-resource-sync
11 lines
272 B
Python
11 lines
272 B
Python
import numpy as np
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from sklearn.metrics import f1_score
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# function to compute f1 score
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def evaluate_f1_score(pred, label):
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pred = np.round(pred, 0).astype(np.int16)
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pred = pred.flatten()
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label = label.flatten()
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return f1_score(y_pred=pred, y_true=label)
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