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| bd = BenchmarkData(Xdata = Xdata(MvNormal, NoCorrelation), | |
| wdist = BinChoice(), | |
| noisedist = Normal(), | |
| SNR = 20.0, | |
| nfeatures = 1000, | |
| sparsity = 10, | |
| nrange = collect(100:20:500) | |
| ) | |
| m = RelaxDualSubgradient(gamma = 1.0, ConstantStepping(1e-3)) | |
| results = benchmark(bd, m) |
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