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remove lasso + elastic net from regular checks #224

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Merged
ethanglaser merged 1 commit into from
Sep 22, 2026
+3 −27
Merged

remove lasso + elastic net from regular checks #224

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12 changes: 0 additions & 12 deletions configs/regular/linear_model.json
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Original file line number Diff line number Diff line change
Expand Up @@ -60,23 +60,11 @@
"regression datasets"
]
},
"sklearn lasso": {
"SETS": ["sklearn-ex[cpu] implementations", "common lasso parameters", "regression datasets"]
},
"sklearn elasticnet": {
"SETS": ["sklearn-ex[cpu] implementations", "common elasticnet parameters", "regression datasets"]
},
"cuml linear": {
"SETS": ["cuml implementation", "common linear parameters", "cuml L2 parameters", "regression datasets"]
},
"cuml ridge": {
"SETS": ["cuml implementation", "common ridge parameters", "cuml L2 parameters", "regression datasets"]
},
"cuml lasso": {
"SETS": ["cuml implementation", "common lasso parameters", "cuml L1 parameters", "regression datasets"]
},
"cuml elasticnet": {
"SETS": ["cuml implementation", "common elasticnet parameters", "cuml L1 parameters", "regression datasets"]
}
}
}
2 changes: 1 addition & 1 deletion configs/testing/azure-pipelines-ci.json
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Expand Up @@ -91,7 +91,7 @@
},
{
"algorithm": {
"estimator": ["LinearRegression", "Ridge", "Lasso", "ElasticNet"]
"estimator": ["LinearRegression", "Ridge"]
}
},
{
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12 changes: 0 additions & 12 deletions configs/weekly/linear_model.json
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Expand Up @@ -56,23 +56,11 @@
"regression datasets"
]
},
"sklearn lasso": {
"SETS": ["sklearn-ex[cpu] implementations", "common lasso parameters", "regression datasets"]
},
"sklearn elasticnet": {
"SETS": ["sklearn-ex[cpu] implementations", "common elasticnet parameters", "regression datasets"]
},
"cuml linear": {
"SETS": ["cuml implementation", "common linear parameters", "cuml L2 parameters", "regression datasets"]
},
"cuml ridge": {
"SETS": ["cuml implementation", "common ridge parameters", "cuml L2 parameters", "regression datasets"]
},
"cuml lasso": {
"SETS": ["cuml implementation", "common lasso parameters", "cuml L1 parameters", "regression datasets"]
},
"cuml elasticnet": {
"SETS": ["cuml implementation", "common elasticnet parameters", "cuml L1 parameters", "regression datasets"]
}
}
}
2 changes: 1 addition & 1 deletion test-configuration-linux.yml
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Expand Up @@ -38,7 +38,7 @@ steps:
- script: |
source /usr/share/miniconda/etc/profile.d/conda.sh
conda activate bench-env
python -m sklbench --report -l DEBUG --report -p algorithm:library=sklearn,sklearnex algorithm:estimator=PCA,KMeans,ElasticNet,KNeighborsClassifier data:source=make_classification data:generation_kwargs:n_samples=10000 data:generation_kwargs:n_classes=2 data:split_kwargs:train_size=0.5 data:split_kwargs:test_size=0.5
python -m sklbench --report -l DEBUG --report -p algorithm:library=sklearn,sklearnex algorithm:estimator=PCA,KMeans,KNeighborsClassifier data:source=make_classification data:generation_kwargs:n_samples=10000 data:generation_kwargs:n_classes=2 data:split_kwargs:train_size=0.5 data:split_kwargs:test_size=0.5
displayName: CLI arguments example run
- script: |
source /usr/share/miniconda/etc/profile.d/conda.sh
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2 changes: 1 addition & 1 deletion test-configuration-win.yml
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Expand Up @@ -37,7 +37,7 @@ steps:
condition: eq(variables['PKG_MANAGER'], 'conda')
- script: |
call activate bench-env
python -m sklbench --report -l DEBUG --report -p algorithm:library=sklearn,sklearnex algorithm:estimator=PCA,KMeans,ElasticNet,KNeighborsClassifier data:source=make_classification data:generation_kwargs:n_samples=10000 data:generation_kwargs:n_classes=2 data:split_kwargs:train_size=0.5 data:split_kwargs:test_size=0.5
python -m sklbench --report -l DEBUG --report -p algorithm:library=sklearn,sklearnex algorithm:estimator=PCA,KMeans,KNeighborsClassifier data:source=make_classification data:generation_kwargs:n_samples=10000 data:generation_kwargs:n_classes=2 data:split_kwargs:train_size=0.5 data:split_kwargs:test_size=0.5
displayName: CLI arguments example run
- script: |
call activate bench-env
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