alteryx/evalml

Data Health: Sparsity Refactor

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#1,801 opened on Feb 9, 2021

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enhancementgood first issue

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Description

Currently, the sparsity score is calculated using a discrete count of values as a threshold. It might make more sense to refactor the SparsityDataCheck to use a relative threshold instead of a fixed count threshold.

SparsityDataCheck.sparsity_score(col, relative_count_threshold=0.10):
    <implementation>

Here the new relative_count_threshold should be a percentage of the total length of the column.

Contributor guide

Research direction
Understand the current sparsity score implementation using a discrete count threshold. Then modify it to accept a relative count threshold parameter that is a fraction of the column length, and adjust the logic accordingly.
Tech stack
python
Domain
machine learningdata
Issue type
Refactor
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.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonBasic statistics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70