Update F.multi_label_soft_margin_loss/nn.MultiLabelSoftMarginLoss docs 易用性提升
#7028
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-7028.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
zhwesky2010
reviewed
Dec 23, 2024
| @@ -11,7 +11,9 @@ MultiLabelSoftMarginLoss | |||
| 损失函数按照下列公式计算 | |||
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| .. math:: | |||
| \text{loss}(x, y) = \sum_{ij}\frac{\max(0, 1 - (x[y[j]] - x[i]))}{\text{x.shape}(0)} | |||
| \text{loss}(input, label) = - \frac{1}{\text{C}} * \sum_i label[i] * \log((1 + \exp(-input[i]))^{-1}) + (1-label[i]) * \log\left(\frac{\exp(-input[i])}{(1 + \exp(-input[i]))}\right) | |||
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是文档写成了MultiLabelMarginLoss，但是实现是MultiLabelSoftMarginLoss 对吧？MultiLabelSoftMarginLoss 没有问题吧
| @@ -1,44 +0,0 @@ | |||
| ## [ paddle 参数更多 ]torch.nn.MultiLabelMarginLoss | |||
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在pytorch_api_mapping.md这个映射表里，将 MultiLabelMarginLoss 的映射改一下吧，应该是 功能缺失且较好实现 那一类
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在pytorch_api_mapping.md这个映射表里，将 MultiLabelMarginLoss 的映射改一下吧，应该是 功能缺失且较好实现 那一类
这个修改了吗
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@NKNaN 上面这个修改了吗 |
已修改 |
zhwesky2010
reviewed
Dec 26, 2024
| \text{loss}(x, y) = \sum_{ij}\frac{\max(0, 1 - (x[y[j]] - x[i]))}{\text{x.shape}(0)} | ||
| \text{loss}(input, label) = - \frac{1}{\text{C}} * \sum_i label[i] * \log((1 + \exp(-input[i]))^{-1}) + (1-label[i]) * \log\left(\frac{\exp(-input[i])}{(1 + \exp(-input[i]))}\right) | ||
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| 其中 :math:`\text{C}` 为类别数量, | ||
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| 如果添加权重则再乘以对应的权重值 |
| \text{loss}(x, y) = \sum_{ij}\frac{\max(0, 1 - (x[y[j]] - x[i]))}{\text{x.shape}(0)} | ||
| \text{loss}(input, label) = - \frac{1}{\text{C}} * \sum_i label[i] * \log((1 + \exp(-input[i]))^{-1}) + (1-label[i]) * \log\left(\frac{\exp(-input[i])}{(1 + \exp(-input[i]))}\right) | ||
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| 其中 :math:`\text{C}` 为类别数量, |
| \text{loss}(x, y) = \sum_{ij}\frac{\max(0, 1 - (x[y[j]] - x[i]))}{\text{x.shape}(0)} | ||
| \text{loss}(input, label) = - \frac{1}{\text{C}} * \sum_i label[i] * \log((1 + \exp(-input[i]))^{-1}) + (1-label[i]) * \log\left(\frac{\exp(-input[i])}{(1 + \exp(-input[i]))}\right) | ||
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| 其中 :math:`\text{C}` 为类别数量, |
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PaddlePaddle/Paddle#70389
修复 MultiLabelSoftMarginLoss 公式以及删除 torch.nn.MultiLabelMarginLoss 的映射文档