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paper/examples/example.jl
@@ -3,8 +3,6 @@ using NLPModels, NLPModelsModifiers, RegularizedProblems, RegularizedOptimizatio
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using MLDatasets
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Random.seed!(1234)
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-
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-BLAS.set_num_threads(1)
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model, nls_model, _ = RegularizedProblems.svm_train_model() # Build SVM model
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f = LSR1Model(model) # L-SR1 Hessian approximation
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λ = 1.0 # Regularization parameter
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