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For kNN, include k=1 #11

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4 changes: 2 additions & 2 deletions baseline/PyOD.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def grid_hp(self, model_name):
'ECOD': None,
'FeatureBagging': [3, 5, 10, 20], # n_estimators, default=10
'HBOS': [3, 5, 10, 20], # n_bins, default=10
'KNN': [3, 5, 10, 20], # n_neighbors, default=5
'KNN': [1, 3, 5, 10, 20], # n_neighbors, default=5
'LMDD': ['aad', 'var', 'iqr'], # dis_measure, default='aad'
'LODA': [3, 5, 10, 20], # n_bins, default=10
'LOF': [5, 10, 20, 50], # n_neighbors, default=20
Expand Down Expand Up @@ -292,4 +292,4 @@ def fit(self, X_train, y_train, ratio=None):
# from pyod: for consistency, outliers are assigned with larger anomaly scores
def predict_score(self, X):
score = self.model.decision_function(X)
return score
return score