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loss function in "logistic-regression.ipynb " #37

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wanpiqiu123 opened this issue Jul 24, 2019 · 2 comments
Closed

loss function in "logistic-regression.ipynb " #37

wanpiqiu123 opened this issue Jul 24, 2019 · 2 comments

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@wanpiqiu123
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计算loss的函数:

def binary_loss(y_pred, y):
    logits = (y * y_pred.clamp(1e-12).log() + (1 - y) * (1 - y_pred).clamp(1e-12).log()).mean()
    return -logits

前半部分是不是应该使用平均值?即

logits = (y * y_pred.clamp(1e-12).log().mean() + (1 - y) * (1 - y_pred).clamp(1e-12).log()).mean()
@L1aoXingyu
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均值的括号是在最外面,不是只对最后一个部分求mean

@wanpiqiu123
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感谢!

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