From ad6bb920b3502752c0420c34bf2f40f85e487ae4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=BAlio=20Hoffimann?= Date: Mon, 4 May 2026 21:46:12 -0300 Subject: [PATCH] Set viewhint=true --- src/transforms/kmedoids.jl | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/transforms/kmedoids.jl b/src/transforms/kmedoids.jl index 69655f0e..e1303819 100644 --- a/src/transforms/kmedoids.jl +++ b/src/transforms/kmedoids.jl @@ -74,7 +74,7 @@ function applyfeat(transform::KMedoids, feat, prep) medoids = sample(rng, 1:nobs, k, replace=false) # retrieve distance type - s = Tables.subset(stdfeat, 1:1) + s = Tables.subset(stdfeat, 1:1, viewhint=true) D = eltype(pairwise(td, s)) # pre-allocate memory for labels and distances @@ -109,8 +109,8 @@ function _updatelabels!(td, table, medoids, labels, dists) for (k, mₖ) in enumerate(medoids) inds = 1:_nrows(table) - X = Tables.subset(table, inds) - μ = Tables.subset(table, [mₖ]) + X = Tables.subset(table, inds, viewhint=true) + μ = Tables.subset(table, [mₖ], viewhint=true) δ = pairwise(td, X, μ) @@ -127,7 +127,7 @@ function _updatemedoids!(td, table, medoids, labels) for k in eachindex(medoids) inds = findall(isequal(k), labels) - X = Tables.subset(table, inds) + X = Tables.subset(table, inds, viewhint=true) j = _medoid(td, X)