Julia crashes when fitting a SVC #1030
Description
Describe the bug
When running the example code for training a SVC on the iris dataset, the julia kernel crashes shortly after execution of the fit! function.
To Reproduce
using MLJ
import LIBSVM
SVC = @load SVC pkg=LIBSVM
model = SVC(kernel=LIBSVM.Kernel.Linear)
X, y = @load_iris
mach = machine(model, X, y) |> fit!Output:
[ Info: For silent loading, specify `verbosity=0`.
import MLJLIBSVMInterface ✔
MLJLIBSVMInterface.SVC
SVC(
kernel = LIBSVM.Kernel.Linear,
gamma = 0.0,
cost = 1.0,
cachesize = 200.0,
degree = 3,
coef0 = 0.0,
tolerance = 0.001,
shrinking = true)
((sepal_length = [5.1, 4.9, 4.7, 4.6, 5.0, 5.4, 4.6, 5.0, 4.4, 4.9 … 6.7, 6.9, 5.8, 6.8, 6.7, 6.7, 6.3, 6.5, 6.2, 5.9], sepal_width = [3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1 … 3.1, 3.1, 2.7, 3.2, 3.3, 3.0, 2.5, 3.0, 3.4, 3.0], petal_length = [1.4, 1.4, 1.3, 1.5, 1.4, 1.7, 1.4, 1.5, 1.4, 1.5 … 5.6, 5.1, 5.1, 5.9, 5.7, 5.2, 5.0, 5.2, 5.4, 5.1], petal_width = [0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3, 0.2, 0.2, 0.1 … 2.4, 2.3, 1.9, 2.3, 2.5, 2.3, 1.9, 2.0, 2.3, 1.8]), CategoricalArrays.CategoricalValue{String, UInt32}["setosa", "setosa", "setosa", "setosa", "setosa", "setosa", "setosa", "setosa", "setosa", "setosa" … "virginica", "virginica", "virginica", "virginica", "virginica", "virginica", "virginica", "virginica", "virginica", "virginica"])
[ Info: Training machine(SVC(kernel = Linear, …), …).After that, Julia just crashes.
Versions
Julia Version 1.9.1
Commit 147bdf428c (2023-06-07 08:27 UTC)
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 16 × 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, tigerlake)
Threads: 1 on 16 virtual cores
MLJ v0.19.2