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164 lines (164 loc) · 5.08 KB
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{
"INCLUDE": ["../common/sklearn.json"],
"PARAMETERS_SETS": {
"throughput settings": {
"bench": {
"num_instances": 7,
"cores_per_instance": 8,
"measurement_duration": 30
}
},
"linear regression": {
"algorithm": {
"estimator": "LinearRegression",
"estimator_params": {
"fit_intercept": true,
"copy_X": true
}
}
},
"random forest classifier": {
"algorithm": {
"estimator": "RandomForestClassifier",
"estimator_params": {
"n_estimators": 500,
"max_depth": 12,
"max_samples": 0.8,
"min_samples_split": 5,
"min_samples_leaf": 2,
"bootstrap": true,
"criterion": "gini",
"max_features": "sqrt",
"random_state": 42
}
}
},
"knn regressor kdtree": {
"algorithm": {
"estimator": "KNeighborsRegressor",
"estimator_params": {
"n_neighbors": 100,
"weights": "uniform",
"algorithm": "kd_tree",
"metric": "minkowski",
"p": 2
}
},
"data": {
"preprocessing_kwargs": { "normalize": "standard" }
}
},
"kmeans": {
"algorithm": {
"estimator": "KMeans",
"estimator_params": {
"n_clusters": 10,
"n_init": 1,
"max_iter": 30,
"tol": 1e-3,
"random_state": 42,
"init": "k-means++",
"algorithm": "lloyd"
},
"estimator_methods": {
"inference": "predict"
}
},
"data": {
"preprocessing_kwargs": { "normalize": "standard" }
}
},
"linear regression datasets": {
"data": [
{
"dataset": "hepmass",
"split_kwargs": { "train_size": 2000000, "test_size": null }
},
{
"dataset": "year_prediction_msd",
"split_kwargs": { "train_size": 0.5, "test_size": 0.5 }
}
]
},
"random forest classifier datasets": {
"data": [
{
"dataset": "codrnanorm",
"split_kwargs": { "train_size": 0.25, "test_size": null }
},
{
"dataset": "connect",
"split_kwargs": { "train_size": 0.5, "test_size": null }
}
]
},
"knn regressor datasets": {
"data": [
{
"dataset": "skin_segmentation",
"split_kwargs": { "train_size": 0.25, "test_size": 0.75 }
},
{
"dataset": "medical_charges_nominal",
"split_kwargs": { "train_size": 0.75, "test_size": 0.25 }
}
]
},
"kmeans datasets": [
{
"data": {
"dataset": "hepmass",
"split_kwargs": {
"train_size": 2000000,
"test_size": null,
"shuffle": true,
"random_state": 42
}
},
"algorithm": {
"estimator_params": { "n_clusters": 50 }
}
},
{
"data": {
"dataset": "mnist",
"split_kwargs": { "ignore": true }
}
}
]
},
"TEMPLATES": {
"linear_regression_throughput": {
"SETS": [
"sklearn-ex[cpu] implementations",
"throughput settings",
"linear regression",
"linear regression datasets"
]
},
"random_forest_classifier_throughput": {
"SETS": [
"sklearn-ex[cpu] implementations",
"throughput settings",
"random forest classifier",
"random forest classifier datasets"
]
},
"knn_regressor_throughput": {
"SETS": [
"sklearn-ex[cpu] implementations",
"throughput settings",
"knn regressor kdtree",
"knn regressor datasets"
]
},
"kmeans_throughput": {
"SETS": [
"sklearn-ex[cpu] implementations",
"throughput settings",
"kmeans",
"kmeans datasets"
]
}
}
}