PAIR-code/what-if-tool

Incomplete categorical feature list in "Partial Dependence Plots"

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#57 opened on Feb 27, 2020

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good first issue

Description

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.

Contributor guide

Tech stack
python
Domain
machine learningdata
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonBasic understanding of partial dependence plots
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60
Research direction
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.