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@@ -6,7 +6,7 @@ from sklearn.neighbors import KNeighborsClassifier
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from sklearn.ensemble import GradientBoostingClassifier
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from sklearn.feature_selection import RFECV
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import sklearn.svm as svm
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-from sklearn.metrics import accuracy_scorer
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+from sklearn.metrics import accuracy_score
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from thundersvm import SVC
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# variables and parameters
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@@ -14,7 +14,7 @@ n_predict = 0
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def my_accuracy_scorer(*args):
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global n_predict
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- score = accuracy_scorer(*args)
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+ score = accuracy_score(*args)
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print('{0} - Score is {1}'.format(n_predict, score))
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n_predict += 1
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return score
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