【Hackathon 5th No.19】Add ContinuousBernoulli and MultivariateNormal API #6392
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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-6392.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
| ContinuousBernoulli | ||
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| .. py:class:: paddle.distribution.ContinuousBernoulli(probs, eps=0.02) |
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eps=0.02 这是啥，参数不是只有 probs 和 lims 吗？
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| **参数** | ||
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| - **value** (Tensor) - 待计算值。 |
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方法 下的参数、返回的写法样式统一一下吧，MultivariateNormal 同理
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| - **loc** (int|float|Tensor) - 即上述公式中 :math:`\mu` 参数，是 MultivariateNormal 的均值向量。如果 :attr:`loc` 的输入数据类型是 `int` 或 `float` 则会被转换为数据类型为 paddle 全局默认数据类型的 1-D Tensor。 | ||
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| - **covariance_matrix** (Tensor) - 即上述公式中 :math:`\mu` 参数，是 MultivariateNormal 的协方差矩阵。:attr:`covariance_matrix` 的数据类型会被转换为与 :attr:`loc` 相同的类型。 |
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Co-authored-by: zachary sun <[email protected]>
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add cn docs