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[REVIEW] Changes to NearestNeighbors to call 2d random ball cover #4003

Merged
merged 34 commits into from
Sep 29, 2021
Merged

[REVIEW] Changes to NearestNeighbors to call 2d random ball cover #4003

merged 34 commits into from
Sep 29, 2021

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cjnolet
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@cjnolet cjnolet commented Jun 22, 2021

This PR integrates the random ball cover PoC into cuml's brute-force knn for executing the random ball cover algorithm for haversine distance.

@cjnolet cjnolet requested a review from a team as a code owner June 22, 2021 17:05
@cjnolet cjnolet added 2 - In Progress Currenty a work in progress Experimental Used to denote experimental features improvement Improvement / enhancement to an existing function non-breaking Non-breaking change and removed CUDA/C++ labels Jun 22, 2021
@github-actions github-actions bot added CMake CUDA/C++ Cython / Python Cython or Python issue labels Jun 24, 2021
@cjnolet cjnolet requested review from a team as code owners September 1, 2021 18:59
@cjnolet cjnolet changed the base branch from branch-21.08 to branch-21.10 September 1, 2021 18:59
@cjnolet cjnolet requested a review from a team as a code owner September 1, 2021 18:59
@github-actions github-actions bot added the gpuCI gpuCI issue label Sep 1, 2021
@cjnolet cjnolet changed the title [REVIEW] Changes to knn to call random ball cover for haversine knn [REVIEW] Changes to knn to call 2d random ball cover Sep 7, 2021
@cjnolet cjnolet changed the title [REVIEW] Changes to knn to call 2d random ball cover [REVIEW] Changes to NearestNeighbors to call 2d random ball cover Sep 7, 2021
ajschmidt8
ajschmidt8 approved these changes Sep 13, 2021
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Approving ops-codeowner file changes

dantegd
dantegd requested changes Sep 20, 2021
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Changes look good in the cuML side, just left review as request changes for the change of raft pin back to branch-21.10

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python/cuml/neighbors/nearest_neighbors.pyx Outdated Show resolved Hide resolved
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@github-actions github-actions bot removed the CMake label Sep 24, 2021
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dantegd commented Sep 27, 2021

rerun tests

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cjnolet commented Sep 27, 2021

rerun tests

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dantegd commented Sep 29, 2021

@gpucibot merge

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cjnolet commented Sep 29, 2021

rerun tests

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cjnolet commented Sep 29, 2021

rerun tests

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Codecov Report

Merging #4003 (6545f76) into branch-21.10 (0b5b10f) will decrease coverage by 0.00%.
The diff coverage is 86.36%.

Impacted file tree graph

@@               Coverage Diff                @@
##           branch-21.10    #4003      +/-   ##
================================================
- Coverage         86.06%   86.06%   -0.01%     
================================================
  Files               231      231              
  Lines             18656    18691      +35     
================================================
+ Hits              16057    16087      +30     
- Misses             2599     2604       +5
Flag Coverage Δ
dask 47.01% <38.63%> (-0.03%) ⬇️
non-dask 78.75% <86.36%> (+0.01%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
python/cuml/neighbors/__init__.py 100.00% <ø> (ø)
python/cuml/neighbors/nearest_neighbors.pyx 92.28% <86.36%> (-0.77%) ⬇️

Continue to review full report at Codecov.

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@rapids-bot rapids-bot bot merged commit 5a8889d into rapidsai:branch-21.10 Sep 29, 2021
vimarsh6739 pushed a commit to vimarsh6739/cuml that referenced this pull request Oct 9, 2023
@cjnolet
Changes to NearestNeighbors to call 2d random ball cover (rapidsai#4003)
0416194 
This PR integrates the [random ball cover PoC](rapidsai/raft#213) into cuml's brute-force knn for executing the random ball cover algorithm for haversine distance.

Authors:
  - Corey J. Nolet (https://github.com/cjnolet)
  - Dante Gama Dessavre (https://github.com/dantegd)
  - Paul Taylor (https://github.com/trxcllnt)

Approvers:
  - AJ Schmidt (https://github.com/ajschmidt8)
  - Dante Gama Dessavre (https://github.com/dantegd)

URL: rapidsai#4003
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@ajschmidt8 ajschmidt8 ajschmidt8 approved these changes

@dantegd dantegd dantegd approved these changes

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@cjnolet @dantegd @codecov-commenter @ajschmidt8 @trxcllnt