15 lines
424 B
Python
15 lines
424 B
Python
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from statistics import mean
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from typing import Dict
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from sklearn.base import BaseEstimator
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from sklearn.model_selection import cross_validate
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from quapy.data import LabelledCollection
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def kfcv(c_model: BaseEstimator, train: LabelledCollection) -> Dict:
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scoring = ["f1_macro"]
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scores = cross_validate(c_model, train.X, train.y, scoring=scoring)
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return {
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"f1_score": mean(scores["test_f1_macro"])
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}
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