awslabs/gluonts

Missing distributions

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#467 创建于 2019年11月20日

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 (10 评论) (0 反应) (1 负责人)Python (3,888 star) (753 fork)batch import
enhancementhelp wanted

描述

Some of the distributions which are currently missing are:

  • Gamma
  • Beta (this can be implemented ad hoc, or can use Dirichlet internally, since it's a special case) Inflated distributions (these can be implemented as a MixtureDistribution with a "deterministic" one):
  • Zero-One-inflated Beta
  • Zero-inflated Gamma
  • Zero-inflated Poisson
  • Zero-inflated Negative Binomial

贡献者指南

技术栈
python
领域
datamachine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
half day
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
Python programmingProbability distributionsMixture distributions
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
50
研究方向
Examine the existing zero inflated Poisson implementation in the gluonts distribution module (e.g., gluonts/distribution/) to understand how MixtureDistribution is used. Adapt that pattern for the Gamma distribution by implementing a zero inflated Gamma using a MixtureDistribution with a deterministic component. Use the Wikipedia article on Gamma distribution for its PDF and refer to the arXiv paper on zero one inflated Beta for guidance on inflated distributions.
Missing distributions · awslabs/gluonts#467 | Good First Issue