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【Hackathon 5th No.19】Add ContinuousBernoulli and MultivariateNormal API #6392

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Dec 18, 2023
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【Hackathon 5th No.19】Add ContinuousBernoulli and MultivariateNormal API #6392

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b7ef2d6
add hack19 docs
NKNaN Nov 22, 2023
01b9a92
update docs
NKNaN Dec 13, 2023
754bef8
update docs
NKNaN Dec 13, 2023
f308f4b
update cb reference
NKNaN Dec 13, 2023
2e104ef
update cb api
NKNaN Dec 14, 2023
b5b25f8
update docs
NKNaN Dec 14, 2023
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Apply suggestions from code review
NKNaN Dec 18, 2023
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update docs
@NKNaN
NKNaN committed Dec 13, 2023

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commit 754bef85a308d0ed1f254082933248926bfaf01d
8 changes: 4 additions & 4 deletions docs/api/paddle/distribution/ContinuousBernoulli_cn.rst
View file
Original file line number Diff line number Diff line change
@@ -80,7 +80,7 @@ prob(value)

**返回**

- Tensor: :attr:`value` 的概率。数据类型与 :attr:`probability` 相同。
- Tensor: :attr:`value` 的概率。数据类型与 `self.probability` 相同。


log_prob(value)
@@ -94,7 +94,7 @@ log_prob(value)

**返回**

- Tensor: :attr:`value` 的对数概率。数据类型与 :attr:`probability` 相同。
- Tensor: :attr:`value` 的对数概率。数据类型与 `self.probability` 相同。


cdf(value)
@@ -119,7 +119,7 @@ cdf(value)

**返回**

- Tensor: :attr:`value` 的累积分布函数对应的 quantile 值。数据类型与 :attr:`probability` 相同。
- Tensor: :attr:`value` 的累积分布函数对应的 quantile 值。数据类型与 `self.probability` 相同。


icdf(value)
@@ -143,7 +143,7 @@ icdf(value)

**返回**

- Tensor: ContinuousBernoulli 随机变量在对应 quantile 下的值。数据类型与 :attr:`probability` 相同。
- Tensor: ContinuousBernoulli 随机变量在对应 quantile 下的值。数据类型与 `self.probability` 相同。


sample(shape=())
12 changes: 6 additions & 6 deletions docs/api/paddle/distribution/MultivariateNormal_cn.rst
View file
Original file line number Diff line number Diff line change
@@ -74,7 +74,7 @@ prob(value)

**返回**

- Tensor: :attr:`value` 的概率。数据类型与 :attr:`loc` 相同。
- Tensor: :attr:`value` 的概率。数据类型与 `self.loc` 相同。


log_prob(value)
@@ -88,7 +88,7 @@ log_prob(value)

**返回**

- Tensor: :attr:`value` 的对数概率。数据类型与 :attr:`loc` 相同。
- Tensor: :attr:`value` 的对数概率。数据类型与 `self.loc` 相同。


sample(shape=())
@@ -102,7 +102,7 @@ sample(shape=())

**返回**

- Tensor：样本数据。其维度为 :math:`\text{sample shape} + \text{batch shape} + \text{event shape}` 。数据类型为 paddle 全局默认数据类型。
- Tensor：样本数据。其维度为 :math:`\text{sample shape} + \text{batch shape} + \text{event shape}` 。数据类型与 `self.loc` 相同。


rsample(shape=())
@@ -116,7 +116,7 @@ rsample(shape=())

**返回**

- Tensor：样本数据。其维度为 :math:`\text{sample shape} + \text{batch shape} + \text{event shape}` 。数据类型为 paddle 全局默认数据类型。
- Tensor：样本数据。其维度为 :math:`\text{sample shape} + \text{batch shape} + \text{event shape}` 。数据类型与 `self.loc` 相同。


entropy()
@@ -130,7 +130,7 @@ entropy()

**返回**

类别分布的信息熵，数据类型为 paddle 全局默认数据类型。
类别分布的信息熵，数据类型与 `self.loc` 相同。


kl_divergence(other)
@@ -148,4 +148,4 @@ kl_divergence(other)

**返回**

相对于另一个类别分布的 KL 散度，数据类型为 paddle 全局默认数据类型。
相对于另一个类别分布的 KL 散度，数据类型与 `self.loc` 相同。