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Hi All,
I am having an issue with regression using liblinear. It crashes with illegal index
MWE is as follows:
using LIBLINEAR
x = randn(200,10000);
y = randn(10000);
model = linear_train(y,x; solver_type = LIBLINEAR.L2R_L2LOSS_SVR);
linear_predict(model, x)which outputs error
ERROR: BoundsError: attempt to access 10000-element Vector{Float64} at index [-791]
Stacktrace:
[1] getindex
@ ./essentials.jl:13 [inlined]
[2] linear_predict(model::LinearModel{Float64}, instances::Matrix{Float64}; probability_estimates::Bool, verbose::Bool)
@ LIBLINEAR ~/.julia/packages/LIBLINEAR/Gc5Us/src/LIBLINEAR.jl:313
[3] linear_predict(model::LinearModel{Float64}, instances::Matrix{Float64})
@ LIBLINEAR ~/.julia/packages/LIBLINEAR/Gc5Us/src/LIBLINEAR.jl:261
[4] top-level scope
@ REPL[6]:1
I am using AMD processor.
the version of julia is
julia> versioninfo()
Julia Version 1.10.0
Commit 3120989f39b (2023-12-25 18:01 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 64 × AMD EPYC 73F3 16-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 1 on 64 virtual cores
Environment:
LD_LIBRARY_PATH = /mnt/appl/software/Julia/1.10.0-linux-x86_64/liband the version of LIBLINEAR is 0.7.0
Thanks for help
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