v0.4.27

NearestNeighbors v0.4.27

Diff since v0.4.26

Merged pull requests:

• Fix more unit errors (#239) (@andreasKroepelin)

Closed issues:

• Technical references on the various algorithms used (#238)

v0.4.26

NearestNeighbors v0.4.26

Diff since v0.4.25

Merged pull requests:

• Define a tree walking interface for NearestNeighbor-trees (on top of AbstractTrees, maybe...) (#224) (@KristofferC)
• use ParallelTestRunner (#234) (@KristofferC)
• add allknn to find the knn of each point in a tree (#236) (@KristofferC)

Closed issues:

• Omitting results to points themselves (#49)
• mutual nearest neighbors (#141)
• Interface for tree traversal / walking of BallTree/KDTree (#194)

v0.4.25

NearestNeighbors v0.4.25

Diff since v0.4.24

Merged pull requests:

• implement inrange_pairs (#229) (@KristofferC)
• move to supporting 1.10+ (#230) (@KristofferC)
• fix a slew of unit errors (#232) (@KristofferC)
• force specialize on skip function in a few places (#233) (@KristofferC)

Closed issues:

• Dynamic trees (#44)
• Autodiff support (#101)
• Support for Neighbor Pairs Searching (#107)
• Package not compatible with Unitful (#231)

v0.4.24

NearestNeighbors v0.4.24

Diff since v0.4.23

Merged pull requests:

• Add error check when constructing KDTree (#219) (@williamjsdavis)
• make inrangecount not copy input matrix (cf apply 965c14) (#225) (@KristofferC)
• make nn non-allocating by having it "track" scalars (#228) (@KristofferC)

Closed issues:

• nn on a single point uses allocations (#227)

v0.4.23

NearestNeighbors v0.4.23

Diff since v0.4.22

Merged pull requests:

• Implement a periodic tree that maps points to "mirrors" (#193) (@KristofferC)
• Add parallel tree building for KDTree and BallTree (#216) (@KristofferC)
• make sure that ExplicitImport checks pass (#217) (@KristofferC)

Closed issues:

• Implement threading. (#5)
• Fast nearest-neighbor searching for nonlinear signal processing (#69)
• Type stability in tree constructors (#83)
• periodic kdtree or balltree (#133)

v0.4.22

NearestNeighbors v0.4.22

Diff since v0.4.21

Merged pull requests:

• Disable fast path update for minimum distance to hyper rectangle for Chebyshev since it doesn't work (#192) (@KristofferC)
• fix inferrability of return value with KDTree created from matrix of points (#212) (@KristofferC)
• Some improvements to readme and docstrings (#213) (@KristofferC)
• Avoid a duplicated error check and condense the split_dim check slightly (#214) (@KristofferC)
• use the maximum distance to hyper rectangle to add all points in the subtree for inrange calculations (#215) (@KristofferC)

Closed issues:

• KDTree inference failure causes results to fail to infer (#207)
• Memory leak of 30Gb on Linux platform (#208)
• Runtime function (#211)

v0.4.21

NearestNeighbors v0.4.21

Diff since v0.4.20

Merged pull requests:

• Use the new MinkowskiMetric type from Distances.jl (#206) (@eliascarv)

v0.4.20

NearestNeighbors v0.4.20

Diff since v0.4.19

Merged pull requests:

• revert "vectorize the compute_bbox function" (#205) (@KristofferC)

Closed issues:

• hyperractangles' compute_bbox seems to break KDTree due to setindex() for non StaticArrays types (#204)

v0.4.19

NearestNeighbors v0.4.19

Diff since v0.4.18

Merged pull requests:

• Grab bag of fixups / improvements (#181) (@KristofferC)
• Add mutating version of knn and inrange (#185) (@KristofferC)
• improve docs w.r.t what metrics can be used (#186) (@KristofferC)
• relax some types to make things work with views (#187) (@KristofferC)
• add a blurb about package not being suitable for very high dimensional points (#188) (@KristofferC)
• fix min max hyperrec (#191) (@KristofferC)
• optimize some hypersphere checks for minkowski metrics (#195) (@KristofferC)
• avoid some square rooting to check distances (#197) (@KristofferC)
• bump the default leafsize from 10 to 25 (#198) (@KristofferC)
• bump version (#202) (@KristofferC)

Closed issues:

• Approximate Nearest Neighbors algorithms (#73)
• Allow @view Vector{SVector} in KDTree (#74)
• Trees for non-Metrics? (#75)
• In-place version of knn (#81)
• Not working with Adjoint type? (#82)
• Creating tree on views (#88)
• Optimized counting of inrange nearest neighbors (#108)
• Performant way to estimate distances for bulk inrange search? (#119)
• Bug: BoundsError when skipping all entries (#127)
• nn lacking docstring (#147)
• README.md Misleading Custom Metric Documentation (#152)
• Compilation time issues with very high dimensions (#156)
• Make datatypes of the KNN results selectable for potentially lower memory overhead (#160)
• KDTree with Matrix{ComplexF64} (#175)
• get_min_distance_sq seems weird (#189)
• In place queries not available (#201)

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)