Comments (3)
Could you give a concrete example of what now fails? I didn't mean to break anything with that commit.
from nearestneighbors.jl.
Sure,
import Pkg
Pkg.activate(temp=true)
Pkg.add("NearestNeighbors")
import NearestNeighbors as NN
dynamic_view(X) = [NN.SizedVector{length(v)}(v) for v in eachslice(X; dims = ndims(X))]
data = randn(1000, 1000)
view = dynamic_view(data)
NN.KDTree(view)
ERROR: MethodError: no method matching NearestNeighbors.KDTree(::Vector{StaticArraysCore.SizedVector{1000, Float64, SubArray{Float64, 1, Matrix{Float64}, Tuple{Base.Slice{Base.OneTo{Int64}}, Int64}, true}}}, ::NearestNeighbors.HyperRectangle{StaticArraysCore.SizedVector{1000, Float64, Vector{Float64}}}, ::Vector{Int64}, ::Distances.Euclidean, ::Vector{NearestNeighbors.KDNode{Float64}}, ::NearestNeighbors.TreeData, ::Bool)
from nearestneighbors.jl.
thx 🚀
from nearestneighbors.jl.
Related Issues (20)
- README.md Misleading Custom Metric Documentation
- Document that `inrangecount` also counts the point itself HOT 2
- [Question] Can you insert new data into an existing KDTree object? HOT 2
- Compilation time issues with very high dimensions HOT 3
- Reverse Cuthill-McKee ordering option HOT 1
- Querying number of distance evaluations HOT 3
- Make datatypes of the KNN results selectable for potentially lower memory overhead
- Does ball tree work with any metric? HOT 2
- Add example with `skip` option to documentation HOT 1
- Julia 1.10 is waiting on IO to finish during compilation HOT 3
- It should be possible to make `KDNode` smaller
- KDTree: Wrong results for non-Euclidean metrics
- KDTree with Matrix{ComplexF64} HOT 1
- Can't do `knn` on `AbstractVector{SVector}` HOT 2
- Test benchmarks and have them run on CI
- 1.0 road map HOT 5
- `get_min_distance_sq` seems weird
- Interface for tree traversal / walking of BallTree/KDTree HOT 3
- Trees for integer input data errors now it seems
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from nearestneighbors.jl.