Add Squared Mahalanobis distance and cache covariance matrix inversions #684
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Multiple calls to Mahalanobis measure are common (e.g. comparing measurement predictions to detections), and by caching the matrix inversion, this can avoid repeating this costly operation.
sdhiscocks
requested review from
hpritchett-dstl and
orosoman-dstl
and removed request for
a team
Codecov Report
@@ Coverage Diff @@
## main #684 +/- ##
==========================================
- Coverage 94.60% 94.60% -0.01%
==========================================
Files 170 170
Lines 8548 8563 +15
Branches 1654 1657 +3
==========================================
+ Hits 8087 8101 +14
Misses 342 342
- Partials 119 120 +1
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
|
jswright-dstl
approved these changes
Aug 4, 2022
hpritchett-dstl
approved these changes
Aug 9, 2022
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Multiple calls to Mahalanobis measure are common (e.g. comparing measurement predictions to detections), and by caching the matrix inversion, this can avoid repeating this costly operation.