[1.0.0] Multivariate (Mahalanobis)

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
data

Research direction

Start with xrspatial/mahalanobis.py and compare the function against the README feature matrix. Review the dark-corner decisions in #2930, then run /deep-sweep xrspatial/mahalanobis.py and check the accuracy, security, performance, and API-consistency items. Done means the public surface is frozen, no CRITICAL or HIGH findings remain, and the notebook example is added.

Written by the indexing model from the issue text.

Description

1.0.0-tracking area:stats

1.0.0 readiness: Multivariate (Mahalanobis)

Area: Stats Functions: mahalanobis
Source: xrspatial/mahalanobis.py

Scope
  • Public surface frozen against the README feature matrix
  • Dark-corner decisions resolved (see #2930)
Sweep clearance, no CRITICAL or HIGH (accuracy and security first)
  • Accuracy /deep-sweep xrspatial/mahalanobis.py
  • Security
  • Performance
  • API consistency

Last swept: none yet

Examples
  • Notebook example
  • (optional) standalone script
Linked bug issues

none yet

Dominant language
Python
Stars
972
Forks
92
Avg merge
2d 12h
Merged PRs (30d)
7

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