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spmd_for_online.json
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96 lines (96 loc) · 3.27 KB
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{
"INCLUDE": ["../../common/sklearn.json", "large_scale.json"],
"PARAMETERS_SETS": {
"covariance data": {
"data": [
{
"source": "make_blobs",
"generation_kwargs": {
"centers": 1,
"n_samples": 1000000,
"n_features": [10, 100]
},
"split_kwargs": {"ignore": true}
}
]
},
"basic_statistics data": {
"data": {
"source": "make_blobs",
"generation_kwargs": {
"centers": 1,
"n_samples": 1000000,
"n_features": [10, 100]
},
"split_kwargs": {"ignore": true}
}
},
"linear_regression data": {
"data": {
"source": "make_regression",
"split_kwargs": {"train_size": 0.2, "test_size": 0.8},
"generation_kwargs": {
"n_samples": 1000000,
"n_features": [10, 100],
"n_informative": 5,
"noise": 2.0
}
}
},
"pca data": {
"data": {
"source": "make_blobs",
"generation_kwargs": {
"centers": 1,
"n_samples": 1000000,
"n_features": [10, 100]
},
"split_kwargs": {"ignore": true}
}
},
"basic_statistics": {
"algorithm": [
{
"estimator": "BasicStatistics",
"library": "sklearnex.spmd",
"estimator_methods": {"training": "fit"}
}
]
},
"covariance": {
"algorithm": [
{
"estimator": "EmpiricalCovariance",
"library": "sklearnex.spmd",
"estimator_methods": {"training": "fit"}
}
]
},
"linear_regression": {
"algorithm": [
{
"estimator": "LinearRegression",
"library": "sklearnex.spmd",
"estimator_methods": {"training": "fit"}
}
]
},
"pca": {
"algorithm": [
{
"estimator": "PCA",
"library": "sklearnex.spmd",
"estimator_methods": {"training": "fit", "inference": ""}
}
]
}
},
"TEMPLATES": {
"basic_statistics": {"SETS": ["basic_statistics", "basic_statistics data", "sklearnex spmd implementation", "large scale full one node parameters"]},
"covariance": {"SETS": ["covariance", "covariance data", "sklearnex spmd implementation", "large scale full one node parameters"]},
"linear_regression": {
"SETS": ["linear_regression", "linear_regression data", "sklearnex spmd implementation", "large scale full one node parameters"]
},
"pca": {"SETS": ["pca", "pca data", "sklearnex spmd implementation", "large scale full one node parameters"]}
}
}