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Update README.rst

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Hongzuo Xu 2022-11-02 22:54:51 +08:00 committed by GitHub
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@ -31,6 +31,6 @@ DeepOD can be used in a few lines of code. This API style is the same with sklea
# weakly-supervised methods # weakly-supervised methods
from deepod.models.devnet import DevNet from deepod.models.devnet import DevNet
clf = DevNet() clf = DevNet()
clf.fit(X_train, y=semi_y) # semi_y use 1 for known anomalies, and 0 for unlabeled data clf.fit(X_train, y=semi_y) # semi_y uses 1 for known anomalies, and 0 for unlabeled data
scores = clf.decision_function(X_test) scores = clf.decision_function(X_test)