use bayesian model selection instead of heuristics for .guess

描述

此議題沒有描述。

貢獻者指南

技術棧

python

領域

machine learning

議題類型

feature

難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。

4

預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。

over 1 week

活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。

stale

清晰度議題是否清楚說明預期改動、驗收標準和下一步。

unclear

前置要求

Bayesian statisticsPythonbayeslite codebase

新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。

15

研究方向

The issue proposes replacing heuristic model selection with Bayesian model selection for the .guess method. First, locate the current heuristic implementation in the bayeslite source code (likely in Python). Then, research Bayesian model selection techniques such as Bayes factors or WAIC that can be applied. The implementation should modify the .guess method accordingly. Since the issue body is empty, the contributor should review any existing comments and the codebase structure to understand the current heuristic.