PAIR-code/what-if-tool

Incomplete categorical feature list in "Partial Dependence Plots"

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#57 创建于 2020年2月27日

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good first issue

描述

WhatIf currently only reads first 50 Datapoints to generate candidates for categorical features to be used in "Partial Dependence Plots". This could be too restrictive. It shall read more data to get a more complete list of categories and choose the most frequent ones for plots.

贡献者指南

技术栈
python
领域
machine learningdata
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。
2
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
PythonBasic understanding of partial dependence plots
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。
60
研究方向
Investigate the data loading code in the What If Tool repository. Locate where the first 50 datapoints are read for categorical feature candidates. Modify that section to read a larger sample (e.g., all data or a configurable number) and then select the most frequent categories for plotting. Ensure the change does not introduce performance issues.