deprecated knnest throws error w/o ref to kNN
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Description
knnest throws error in is.data.frame(x) : argument y is missing with no default
Suggestion: change error to 'Deprecated, use kNN instead'
xdata <- preprocessx(x = mlb[,c('Height','Age')] , kmax = 20, xval = F )
kout <- knnest(y = mlb[,'Weight'], xdata = xdata, k = 20)
Error in is.data.frame(x) : argument "y" is missing, with no default
copy paste:
kout <- knnest(y = mlb[,5], xdata = xdata, k = 20)
Error in is.data.frame(x) : argument "y" is missing, with no default
traceback()
7: is.data.frame(x)
6: colMeans(y[nearIdxs, , drop = FALSE])
5: nearf(x[i, ], nearxy[[i]])
4: FUN(X[[i]], ...)
3: lapply(X = X, FUN = FUN, ...)
2: sapply(1:nrow(x), function(i) nearf(x[i, ], nearxy[[i]]))
1: knnest(y = mlb[, 5], xdata = xdata, k = 20)
sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.2 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] regtools_1.6.0 dummies_1.5.6 data.table_1.14.0 freqparcoord_1.0.1 mvtnorm_1.1-1 FNN_1.1.3
[7] GGally_2.1.1 ggplot2_3.3.3 nvimcom_0.9-113
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start at the knnest entry point and reproduce the reported call using preprocessx, mlb, and k = 20. The work is done when calling knnest no longer produces the internal is.data.frame error and instead reports that it is deprecated and kNN should be used.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100