mhjensen
10 lines
382 B
Python
10 lines
382 B
Python
from sklearn.datasets import load_iris
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from sklearn import datasets, linear_model
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from sklearn.linear_model import LogisticRegressionCV
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X, y = datasets.make_moons(200, noise=0.20)
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#X, y = load_iris(return_X_y=True)
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clf = LogisticRegressionCV(cv=5, random_state=0,multi_class='multinomial').fit(X, y)
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#clf.predict(X[:2, :])
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#clf.predict_proba(X[:2, :]).shape
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print(clf.score(X, y) )
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