v0.4.18

NearestNeighbors v0.4.18

Diff since v0.4.17

Merged pull requests:

• chatgpt the README (#178) (@KristofferC)
• allow views as input to query functions (#183) (@KristofferC)

Closed issues:

• Is there any plan to introduce una-dinosauria/Rayuela.jl ?? (#91)
• Can't do knn on AbstractVector{SVector} (#176)
• Test benchmarks and have them run on CI (#179)

v0.4.17

NearestNeighbors v0.4.17

Diff since v0.4.16

Merged pull requests:

• KDTree: SoA the Node struct to avoid paying alignment cost to store the split dimension (#177) (@KristofferC)

v0.4.16

NearestNeighbors v0.4.16

Diff since v0.4.15

Merged pull requests:

• use a separate parameter for the hyper rectangle (#174) (@KristofferC)

Closed issues:

• Cannot build KDTree with Subarrays since v0.4.14 (#173)

v0.4.15

NearestNeighbors v0.4.15

Diff since v0.4.14

Merged pull requests:

• Fix tree construction for vectors without StaticArrays.setindex (#172) (@fredrikekre)

v0.4.14

NearestNeighbors v0.4.14

Diff since v0.4.13

Merged pull requests:

• Allow usage of semi and pre-metrics with BruteTree (#137) (@davnn)
• Make KDNode smaller (#166) (@KristofferC)
• avoid copying inputs when doing a knn or inrange for a matrix input (#168) (@KristofferC)
• some fixes for weighted metrics (#170) (@KristofferC)
• avoid unnecessarily overloading Distances.evaluate (#171) (@KristofferC)

Closed issues:

• BruteTree SemiMetric support (#99)
• Benchmarking parallel implementation leads to segfaults (#136)
• Reverse Cuthill-McKee ordering option (#158)
• Julia 1.10 is waiting on IO to finish during compilation (#164)
• It should be possible to make KDNode smaller (#165)
• KDTree: Wrong results for non-Euclidean metrics (#169)

v0.4.13

NearestNeighbors v0.4.13

Diff since v0.4.12

Closed issues:

• [Question] Can you insert new data into an existing KDTree object? (#155)

Merged pull requests:

• add some code to run during precompilation (#157) (@KristofferC)

v0.4.12

NearestNeighbors v0.4.12

Diff since v0.4.11

Closed issues:

• AssertionError in kmedoids alg (#148)
• bug: BoundsError when the skip function returns true for all points (#149)
• Is there a reason sqeuclidean distance is not supported? (#151)
• Document that inrangecount also counts the point itself (#153)

Merged pull requests:

• Add generic constructor to HyperSphere (#154) (@eliascarv)

v0.4.11

NearestNeighbors v0.4.11

Diff since v0.4.10

Closed issues:

• Incremental tree build with custom data types. (#110)
• BallTree and KDTree do not accept Vector{AbstractVector{Float64}} Type. Possible bug. (#144)
• knn: skipped items output when there is a skip function has always the last index and not 0 index (#145)

Merged pull requests:

• fix skipped points (#146) (@KristofferC)

v0.4.10

NearestNeighbors v0.4.10

Diff since v0.4.9

Closed issues:

• No constructor for NNTree (#138)
• Nearest Neighbors in a very large dataset. (#140)

Merged pull requests:

• Add inrangecount for efficient counting of neighbors (#124) (@BioTurboNick)
• Create CompatHelper.yml (#129) (@CarloLucibello)
• update BallTree docstring (#134) (@OkonSamuel)
• update KDTree docstring (#135) (@OkonSamuel)
• reword readme (#139) (@KristofferC)

v0.4.9

NearestNeighbors v0.4.9

Diff since v0.4.8

Closed issues:

• Define function nn (#43)
• Interpret 1-dimensional array as 1 point (#76)
• Bounding box (#120)
• BruteTree with other metrics than Euclidean() (#122)

Merged pull requests:

• add julia coverage action (#118) (@KristofferC)
• ensure specialization on the skip function (#123) (@KristofferC)