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linear_model.json
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104 lines (104 loc) · 3.17 KB
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{
"INCLUDE": ["../common/sklearn.json", "../common/linear_model.json"],
"PARAMETERS_SETS": {
"regression datasets": [
{
"data": {
"source": "make_regression",
"split_kwargs": { "train_size": 0.5, "test_size": 0.5 },
"generation_kwargs": [
{
"n_samples": 20000000, "n_features": 50,
"n_informative": 5, "noise": 20.0
},
{
"n_samples": 2000000, "n_features": 400,
"n_informative": 5, "noise": 40.0
},
{
"n_samples": 200000, "n_features": 5000,
"n_informative": 5, "noise": 80.0
}
]
}
},
{
"data": {
"dataset": [
"yolanda",
"hepmass",
"susy"
],
"preprocessing_kwargs": {
"normalize": true
},
"split_kwargs": { "ignore": true }
}
}
]
},
"TEMPLATES": {
"sklearn linear": {
"SETS": [
"sklearn-ex[cpu,gpu] implementations",
"common linear parameters",
"sklearn linear parameters",
"regression datasets"
]
},
"sklearn ridge": {
"SETS": [
"sklearn-ex[cpu] implementations",
"common ridge parameters",
"sklearn ridge parameters",
"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"
]
}
}
}