15 lines
342 B
Python
15 lines
342 B
Python
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import numpy as np
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from sklearn import clone
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from sklearn.base import BaseEstimator
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def clone_fit(c_model: BaseEstimator, data, labels):
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c_model2 = clone(c_model)
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c_model2.fit(data, labels)
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return c_model2
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def get_score(pred1, pred2, labels):
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return np.mean((pred1 == labels).astype(int) - (pred2 == labels).astype(int))
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