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Adaboost里的Zm为什么是Sum(D)？ #18

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MaoShuyi opened this issue Aug 20, 2020 · 1 comment

MaoShuyi commented Aug 20, 2020

代码：D = np.multiply(D, np.exp(-1 * alpha * np.multiply(trainLabelArr, Gx))) / sum(D)

书里公式中分母应该是Zm，但是代码里是 sum(D)，不是很清楚。

ChestnutSilver commented Oct 26, 2023 •

edited

根据Zm的公式，Zm的计算方法即为sum(D)

    #D是一个行向量，由wmi元素组成，然后D中元素求和为Zm，Zm规范化因子使得D是一个分布
    D = np.multiply(D, np.exp(-1 * alpha * np.multiply(trainLabelArr, Gx)))
    Zm = sum(D)
    D = D / Zm

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