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34 lines
1018 B
Python
34 lines
1018 B
Python
import time
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from sklearn.model_selection import cross_val_score, StratifiedKFold
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from sklearn.preprocessing import KBinsDiscretizer
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from sklearn.datasets import load_wine
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from bayesclass.clfs import TAN
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import warnings
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# Warnings are not errors
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warnings.simplefilter("ignore")
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start = time.time()
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random_state = 17
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n_folds = 5
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print(f"Accuracy in {n_folds} folds stratified crossvalidation")
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dataset_start = time.time()
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dataset = load_wine()
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Xc = dataset.data
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enc = KBinsDiscretizer(encode="ordinal")
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X = enc.fit_transform(Xc)
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y = dataset.target
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clf = TAN(random_state=random_state)
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fit_params = dict(features=dataset.feature_names, class_name="class", head=0)
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kfold = StratifiedKFold(
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n_splits=n_folds, shuffle=True, random_state=random_state
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)
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score = cross_val_score(clf, X, y, cv=kfold, fit_params=fit_params)
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print(
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f"wine {'.' * 10}{score.mean():9.7f} "
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f"({time.time()-dataset_start:7.2f} seconds)"
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)
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clf.fit(X, y, **fit_params)
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clf.plot("TAN wine")
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print(f"Took {time.time()-start:.2f} seconds")
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