Benchopt
Dataset:
leukemia[n_groups=100]
leukemia[n_groups=500]
leukemia[n_groups=2000]
simulated[n_features=5000,n_groups=100,n_samples=500]
simulated[n_features=5000,n_groups=500,n_samples=500]
simulated[n_features=5000,n_groups=1000,n_samples=500]
Objective:
Group Logistic regression[rho=1.0]
Group Logistic regression[rho=0.1]
Group Logistic regression[rho=0.01]
Group Logistic regression[rho=0.005]
Objective column
objective_value
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
Quantiles
Benchopt
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Dataset:
leukemia[n_groups=100]
leukemia[n_groups=500]
leukemia[n_groups=2000]
simulated[n_features=5000,n_groups=100,n_samples=500]
simulated[n_features=5000,n_groups=500,n_samples=500]
simulated[n_features=5000,n_groups=1000,n_samples=500]
Objective:
Group Logistic regression[rho=1.0]
Group Logistic regression[rho=0.1]
Group Logistic regression[rho=0.01]
Group Logistic regression[rho=0.005]
Objective column
objective_value
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
Quantiles
Result on group logreg benchmark
CPU : 20
RAM (GB) : 31
CUDA : NVIDIA T600 Laptop GPU: cuda_11.6
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Solvers
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System information
CPU
: 20
RAM (GB)
: 31
CUDA
: NVIDIA T600 Laptop GPU: cuda_11.6
platform
: Linux5.14.0-1051-oem-x86_64
processor
: 12th Gen Intel(R) Core(TM) i7-12700H
numpy
: 1.23.4
scipy
: 1.9.2
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