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Update benchmarking scopes #185

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27 changes: 27 additions & 0 deletions configs/common/dbscan.json
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{
"PARAMETERS_SETS": {
"common dbscan parameters": {
"algorithm": {
"estimator": "DBSCAN",
"estimator_params": {
"eps": "[SPECIAL_VALUE]distances_quantile:0.01",
"min_samples": 5,
"metric": "euclidean"
}
}
},
"sklearn dbscan parameters": {
"algorithm": {
"estimator_params": {
"algorithm": "brute",
"n_jobs": "[SPECIAL_VALUE]physical_cpus"
}
}
},
"cuml dbscan parameters": {
"algorithm": {
"estimator_params": { "calc_core_sample_indices": false, "verbose": 2 }
}
}
}
}
64 changes: 64 additions & 0 deletions configs/common/ensemble.json
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{
"PARAMETERS_SETS": {
"common ensemble params": {
"algorithm": {
"estimator_params": {
"n_estimators": 500,
"max_depth": 12,
"max_samples": 0.8,
"min_samples_split": 5,
"min_samples_leaf": 2,
"min_impurity_decrease": 0.0,
"bootstrap": true,
"random_state": 42
}
}
},
"sklearn ensemble classifier params": {
"algorithm": {
"estimator": ["RandomForestClassifier", "ExtraTreesClassifier"],
"estimator_params": {
"criterion": "gini",
"max_features": "sqrt",
"max_leaf_nodes": null,
"n_jobs": "[SPECIAL_VALUE]physical_cpus"
}
}
},
"sklearn ensemble regressor params": {
"algorithm": {
"estimator": ["RandomForestRegressor", "ExtraTreesRegressor"],
"estimator_params": {
"criterion": "squared_error",
"max_features": 1.0,
"max_leaf_nodes": null,
"n_jobs": "[SPECIAL_VALUE]physical_cpus"
}
}
},
"cuml ensemble classifier params": {
"algorithm": {
"estimator": "RandomForestClassifier",
"estimator_params": {
"n_streams": 4,
"split_criterion": "gini",
"max_features": "sqrt",
"max_leaves": -1,
"n_bins": 256
}
}
},
"cuml ensemble regressor params": {
"algorithm": {
"estimator": "RandomForestRegressor",
"estimator_params": {
"n_streams": 4,
"split_criterion": "mse",
"max_features": 1.0,
"max_leaves": -1,
"n_bins": 256
}
}
}
}
}
25 changes: 25 additions & 0 deletions configs/common/kmeans.json
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{
"PARAMETERS_SETS": {
"common kmeans parameters": {
"algorithm": {
"estimator": "KMeans",
"estimator_params": {
"n_clusters": "[SPECIAL_VALUE]auto",
"n_init": 1,
"max_iter": 30,
"tol": 1e-3,
"random_state": 42
},
"estimator_methods": { "inference": "predict" }
}
},
"sklearn kmeans parameters": {
"algorithm": { "estimator_params": { "init": "k-means++", "algorithm": "lloyd" } }
},
"cuml kmeans parameters": {
"algorithm": {
"estimator_params": { "init": "scalable-k-means++" }
}
}
}
}
42 changes: 42 additions & 0 deletions configs/common/knn.json
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{
"PARAMETERS_SETS": {
"common knn parameters": {
"algorithm": {
"estimator_params": {
"n_neighbors": [10, 100],
"weights": "uniform"
}
},
"data": {
"preprocessing_kwargs": { "normalize": true }
}
},
"sklearn knn parameters": {
"algorithm": { "estimator_params": { "n_jobs": "[SPECIAL_VALUE]physical_cpus" } }
},
"brute knn classification parameters": {
"algorithm": {
"estimator": "KNeighborsClassifier",
"estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }
}
},
"kd_tree knn classification parameters": {
"algorithm": {
"estimator": "KNeighborsClassifier",
"estimator_params": { "algorithm": "kd_tree", "metric": "minkowski", "p": 2 }
}
},
"brute knn regression parameters": {
"algorithm": {
"estimator": "KNeighborsRegressor",
"estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }
}
},
"kd_tree knn regression parameters": {
"algorithm": {
"estimator": "KNeighborsRegressor",
"estimator_params": { "algorithm": "kd_tree", "metric": "minkowski", "p": 2 }
}
}
}
}
45 changes: 45 additions & 0 deletions configs/common/lightgbm.json
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{
"PARAMETERS_SETS": {
"lightgbm implementations": [
{
"algorithm": {
"device": "cpu",
"estimator_params": {
"boosting_type": "gbdt",
"verbosity": -1,
"n_jobs": "[SPECIAL_VALUE]physical_cpus"
},
"enable_modelbuilders": false
}
}
],
"lightgbm binary classification": {
"algorithm": {
"library": "lightgbm",
"estimator": "LGBMClassifier",
"estimator_params": {
"objective": "binary"
}
}
},
"lightgbm multi classification": {
"algorithm": {
"library": "lightgbm",
"estimator": "LGBMClassifier",
"estimator_params": {
"objective": "multiclass",
"num_classes": "[SPECIAL_VALUE]auto"
}
}
},
"lightgbm regression": {
"algorithm": {
"library": "lightgbm",
"estimator": "LGBMRegressor",
"estimator_params": {
"objective": "regression"
}
}
}
}
}
56 changes: 56 additions & 0 deletions configs/common/linear_model.json
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{
"PARAMETERS_SETS": {
"common linear parameters": {
"algorithm": {
"estimator": "LinearRegression",
"estimator_params": { "fit_intercept": true, "copy_X": true }
}
},
"common ridge parameters": {
"algorithm": {
"estimator": "Ridge",
"estimator_params": {
"fit_intercept": true,
"alpha": 2.0
}
}
},
"common lasso parameters": {
"algorithm": {
"estimator": "Lasso",
"estimator_params": {
"fit_intercept": true,
"max_iter": 1000,
"selection": "cyclic",
"alpha": 1e-3,
"tol": 1e-6
}
}
},
"common elasticnet parameters": {
"algorithm": {
"estimator": "ElasticNet",
"estimator_params": {
"fit_intercept": true,
"max_iter": 1000,
"selection": "cyclic",
"alpha": 1e-3,
"l1_ratio": 0.9,
"tol": 1e-6
}
}
},
"sklearn linear parameters": {
"estimator_params": { "n_jobs": "[SPECIAL_VALUE]physical_cpus" }
},
"sklearn ridge parameters": {
"estimator_params": { "solver": "auto", "tol": 1e-4 }
},
"cuml L2 parameters": {
"estimator_params": { "solver": "eig" }
},
"cuml L1 parameters": {
"estimator_params": { "solver": "cd" }
}
}
}
29 changes: 29 additions & 0 deletions configs/common/logreg.json
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{
"INCLUDE": ["../common/sklearn.json"],
"PARAMETERS_SETS": {
"common logreg parameters": {
"algorithm": {
"estimator": "LogisticRegression",
"estimator_methods": { "inference": "predict" },
"estimator_params": {
"penalty": "l2",
"tol": 1e-4,
"C": 1.0,
"l1_ratio": null,
"max_iter": 200
}
}
},
"sklearn logreg parameters": {
"algorithm": {
"estimator_params": {
"solver": "lbfgs",
"random_state": 42
}
}
},
"cuml logreg parameters": {
"algorithm": { "estimator_params": { "solver": "qn" } }
}
}
}
27 changes: 27 additions & 0 deletions configs/common/pca.json
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{
"INCLUDE": ["../common/sklearn.json"],
"PARAMETERS_SETS": {
"pca parameters": {
"algorithm": {
"estimator": "PCA",
"estimator_params": {
"n_components": 3,
"copy": true,
"whiten": false,
"svd_solver": "covariance_eigh",
"tol": 0.0,
"iterated_power": 15,
"random_state": 42
}
}
},
"cuml pca parameters": {
"algorithm": {
"estimator_params": {
"svd_solver": "full",
"random_state": "[REMOVE]"
}
}
}
}
}
21 changes: 13 additions & 8 deletions configs/common/sklearn.json
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Expand Up @@ -12,13 +12,6 @@
{ "library": "sklearnex", "device": ["cpu", "gpu"] }
]
},
"sklearn-ex[preview] implementations": {
"algorithm": [
{ "library": "sklearn", "device": "cpu" },
{ "library": "sklearnex", "device": "cpu" },
{ "library": "sklearnex.preview", "device": ["cpu", "gpu"] }
]
},
"sklearnex spmd implementation": {
"algorithm": {
"library": "sklearnex.spmd",
Expand Down Expand Up @@ -50,7 +43,19 @@
},
"cuml implementation": {
"algorithm": { "library": "cuml" },
"data": { "format": "cudf" }
"data": { "format": "cupy" }
},
"extended data formats": {
"data": [
{
"format": "numpy",
"order": "C"
},
{
"format": "pandas",
"order": "F"
}
]
}
}
}
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