【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API #671

MayYouBeProsperous · 2023-09-28T07:18:13Z

任务说明：链接

paddle-bot · 2023-09-28T07:18:18Z

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GGBond8488 · 2023-10-11T07:31:53Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+
+对其他模块无影响。
+
+# 名词解释


这里移动到相关背景吧

GGBond8488 · 2023-10-11T07:32:06Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+
+# 八、影响面
+本次任务涉及以下内容：
+1. 新增 `paddle.distribution.exponential` 模块。


这里应该是Gamma吧

GGBond8488 · 2023-10-11T07:33:25Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+paddle 调用 `Gamma` 的形式为：
+
+```python
+paddle.distribution.gamma.Gamma(concentration, rate)


这和paddle现有distribution格式不符

GGBond8488 · 2023-10-11T07:33:51Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+
+- `mean` 计算均值
+- `variance` 计算方差 
+- `sample` 随机采样


是否少了rssample?

GGBond8488 · 2023-10-11T07:34:29Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+在当前的 Paddle 框架中，`paddle.distribution` 目录内已经实现了一系列概率分布的 API，为了扩展现有的概率分布方案，本次任务计划实现伽马分布（Gamma Distribution）的 API。
+
+## 2、功能目标
+为 Paddle 框架增加 `paddle.distribution.gamma` 的 API，用于伽马分布的概率统计与随机采样。API 包括了如下方法：


命名应为paddle.distribution.Gamma

GGBond8488 · 2023-10-11T07:35:10Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

@@ -0,0 +1,283 @@
+# paddle.distribution.gamma 设计文档


命名应为paddle.distribution.Gamma

好的，已修改

GGBond8488 · 2023-10-11T07:36:20Z

rfcs/APIs/20230928_api_design_for_distribution_exponential.md

@@ -0,0 +1,243 @@
+# paddle.distribution.exponential 设计文档


命名应为paddle.distribution.Exponential，其他修改意见同Gamma Comment

GGBond8488 · 2023-10-18T08:26:17Z

rfcs/APIs/20230928_api_design_for_distribution_exponential.md

+
+Exponential 概率分布的概率密度函数如下：
+
+$$ f_{F}(x; \theta) =  \theta e^{- \theta x },  (x \ge 0) $$


这个F应该不用加

GGBond8488 · 2023-10-18T08:30:52Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+
+
+# 一、概述
+## 1、相关背景


这里最好也把分布的特性加上吧，例如期望，方差，偏度等

GGBond8488 · 2023-10-18T08:30:58Z

rfcs/APIs/20230928_api_design_for_distribution_gamma.md

+
+$$ \Gamma(\alpha)=\int_{0}^{\infty} x^{\alpha-1} e^{-x} \mathrm{~d} x, (\alpha>0) $$
+
+其中参数 $\alpha$ 称为形状参数，$\beta$ 称为尺度参数。如果一个随机变量 $X$ 呈伽马分布，则可以写作 $X \sim Gamma(\alpha, \beta)$。


beta 没有正确解析

GGBond8488

LGTM

…e#671)

add docs for exponentail and gamma

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MayYouBeProsperous added 2 commits September 28, 2023 15:24

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【PaddlePaddle Hackathon 5th】开源贡献个人挑战赛 PaddlePaddle/Paddle#57262

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【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API -part PaddlePaddle/Paddle#57899

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【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API #671

【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API #671

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		@@ -0,0 +1,243 @@
		# paddle.distribution.exponential 设计文档


		Exponential 概率分布的概率密度函数如下：

		$$ f_{F}(x; \theta) = \theta e^{- \theta x }, (x \ge 0) $$


		$$ \Gamma(\alpha)=\int_{0}^{\infty} x^{\alpha-1} e^{-x} \mathrm{~d} x, (\alpha>0) $$

		其中参数 $\alpha$ 称为形状参数，$\beta$ 称为尺度参数。如果一个随机变量 $X$ 呈伽马分布，则可以写作 $X \sim Gamma(\alpha, \beta)$。


		对其他模块无影响。

		# 名词解释

【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API #671

【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API #671

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MayYouBeProsperous commented Sep 28, 2023 •

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