Benchopt
Dataset:
libsvm[dataset=rcv1.binary]
libsvm[dataset=news20.binary]
libsvm[dataset=YearPredictionMSD]
MEG
Objective:
Lasso Regression[fit_intercept=False,reg=0.1]
Lasso Regression[fit_intercept=False,reg=0.01]
Lasso Regression[fit_intercept=False,reg=0.001]
Objective column
objective_value
objective_support_size
objective_duality_gap
Chart type
name
config_file
benchmark_name
Scale
semilog-y
semilog-x
loglog
linear
Quantiles
Benchopt
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Dataset:
libsvm[dataset=rcv1.binary]
libsvm[dataset=news20.binary]
libsvm[dataset=YearPredictionMSD]
MEG
Objective:
Lasso Regression[fit_intercept=False,reg=0.1]
Lasso Regression[fit_intercept=False,reg=0.01]
Lasso Regression[fit_intercept=False,reg=0.001]
Objective column
objective_value
objective_support_size
objective_duality_gap
Chart type
name
config_file
benchmark_name
Scale
semilog-y
semilog-x
loglog
linear
Quantiles
Result on generated benchmark
CPU : 10
RAM (GB) : 187
CUDA : Tesla V100-SXM2-16GB: cuda_11.4
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Solvers
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System information
CPU
: 10
RAM (GB)
: 187
CUDA
: Tesla V100-SXM2-16GB: cuda_11.4
platform
: Linux4.18.0-305.40.2.el8_4.x86_64-x86_64
processor
: Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
numpy
: 1.21.6 blas=NO_ATLAS_INFO lapack=lapack
scipy
: 1.8.0
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