generated from LufsX/Experiment-kNN
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@@ -112,6 +112,7 @@ if __name__ == "__main__":
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)
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# 将测试数据转换为向量
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test_vector = np.array([int(char) for char in test_data]).reshape(1, 1024)
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# 进行分类预测
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predicted_label = classify(test_vector, train_data, train_labels)
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print(f"预测的标签: {predicted_label}")
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