training.py 文件源码

def crossValidateModel(self):
    (label_vector, input_vector) = loadData(self.featureFile)
    kFold = 5

    kNNClassifier = neighbors.KNeighborsClassifier(self.n_neighbors, weights='distance')
    scores = cross_validation.cross_val_score(kNNClassifier, input_vector, label_vector, cv = kFold)

    print("\n----- k-fold Cross Validation -----")
    print(scores)
    print("Average: ", sum(scores) / len(scores))