alteryx/evalml

Add feature distribution to partial dependence plots

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#1,077 opened on Aug 19, 2020

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enhancementgood first issue

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Description

It could be useful to add feature distribution (via histogram?) to our partial dependence plots so users can determine whether there is sufficient data to interpret the relationship between the feature and target.

https://doc.dataiku.com/dss/latest/machine-learning/supervised/results.html

https://towardsdatascience.com/prettifying-partial-density-plots-in-python-1f7216937ff

Contributor guide

Research direction
Examine the existing partial dependence plot implementation in the codebase, likely in plotting module. Add a histogram overlay or separate panel showing distribution of the feature values using matplotlib's hist. Determine the best way to integrate it without breaking existing functionality.
Tech stack
python
Domain
data visualization
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.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonmatplotlib
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65