Benchopt
Dataset:
leukemia
libsvm[dataset=finance-tf-idf]
Simulated[n_features=200,n_samples=5000,rho=0]
Simulated[n_features=200,n_samples=5000,rho=0.5]
Simulated[n_features=5000,n_samples=200,rho=0]
Simulated[n_features=5000,n_samples=200,rho=0.5]
Objective:
Lasso Path[fit_intercept=True,n_lambda=100]
Lasso Path[fit_intercept=False,n_lambda=100]
Objective metrics
objective_value
objective_max_rel_duality_gap
objective_max_abs_duality_gap
objective_mean_rel_duality_gaps
objective_mean_abs_duality_gaps
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
X-axis
Quantiles
Save as view
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Dataset:
leukemia
libsvm[dataset=finance-tf-idf]
Simulated[n_features=200,n_samples=5000,rho=0]
Simulated[n_features=200,n_samples=5000,rho=0.5]
Simulated[n_features=5000,n_samples=200,rho=0]
Simulated[n_features=5000,n_samples=200,rho=0.5]
Objective:
Lasso Path[fit_intercept=True,n_lambda=100]
Lasso Path[fit_intercept=False,n_lambda=100]
Objective column
objective_value
objective_max_rel_duality_gap
objective_max_abs_duality_gap
objective_mean_rel_duality_gaps
objective_mean_abs_duality_gaps
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
X-axis
Quantiles
Save as view
Result on lasso path benchmark
CPU : 8
RAM (GB) : 31
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System information
CPU
: 8
RAM (GB)
: 31
platform
: Linux5.17.4-200.fc35.x86_64-x86_64
processor
: Intel(R) Core(TM) i7-10510U CPU @ 1.80GHz
numpy
: 1.21.5 blas=openblas lapack=openblas
scipy
: 1.8.0
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