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olegkkruglovolegkkruglov
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Fix lint
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8 files changed

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-196
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‎configs/incremental.json

Lines changed: 119 additions & 142 deletions
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{
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"PARAMETERS_SETS": {
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"common": {
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"bench": { "n_runs": 10, "time_limit": 60 }
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},
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"covariance data": {
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"data": [
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": [16, 64]
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},
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"split_kwargs": { "ignore": true }
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},
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{
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"dataset_sequence": [
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": 16
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},
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"split_kwargs": { "ignore": true }
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},
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 2000,
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"n_features": 16
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},
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"split_kwargs": { "ignore": true }
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}
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]
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}
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]
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},
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"basic_statistics data": {
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"data": {
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 10000,
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"n_features": [16, 64]
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},
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"split_kwargs": { "ignore": true }
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}
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},
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"linear_regression data": {
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"data": {
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"source": "make_regression",
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"split_kwargs": { "train_size": 0.2, "test_size": 0.8 },
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"generation_kwargs": {
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"n_samples": 5000,
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"n_features": [40, 100],
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"n_informative": 5,
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"noise": 2.0
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}
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}
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},
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"pca data": {
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"data": {
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": [16, 64]
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},
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"split_kwargs": { "ignore": true }
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}
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},
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"covariance": {
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"algorithm":
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[
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{
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"estimator": "IncrementalEmpiricalCovariance",
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"library": "sklearnex.covariance",
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"estimator_methods": {"training": "partial_fit"},
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"num_batches": {
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"training": 2
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}
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}
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]
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},
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"basic_statistics": {
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"algorithm":
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[
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{
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"estimator": "IncrementalBasicStatistics",
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"library": "sklearnex.basic_statistics",
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"num_batches": {
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"training": 2
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}
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}
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]
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},
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"linear_regression": {
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"algorithm":
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[
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{
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"estimator": "IncrementalLinearRegression",
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"library": "sklearnex.linear_model",
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"num_batches": {
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"training": 2
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}
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}
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]
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},
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"pca": {
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"algorithm":
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[
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{
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"estimator": "IncrementalPCA",
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"library": "sklearnex.preview.decomposition",
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"num_batches": {
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"training": 2
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}
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}
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]
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}
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},
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"TEMPLATES": {
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"covariance": {
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"SETS": ["common", "covariance", "covariance data"]
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},
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"basic_statistics": {
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"SETS": ["common", "basic_statistics", "basic_statistics data"]
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},
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"linear_regression": {
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"SETS": ["common", "linear_regression", "linear_regression data"]
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},
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"pca": {
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"SETS": ["common", "pca", "pca data"]
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}
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}
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"PARAMETERS_SETS": {
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"common": {"bench": {"n_runs": 10, "time_limit": 60}},
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"covariance data": {
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"data": [
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": [16, 64],
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},
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"split_kwargs": {"ignore": true},
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},
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{
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"dataset_sequence": [
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": 16,
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},
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"split_kwargs": {"ignore": true},
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},
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{
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 2000,
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"n_features": 16,
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},
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"split_kwargs": {"ignore": true},
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},
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]
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},
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]
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},
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"basic_statistics data": {
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"data": {
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 10000,
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"n_features": [16, 64],
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},
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"split_kwargs": {"ignore": true},
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}
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},
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"linear_regression data": {
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"data": {
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"source": "make_regression",
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"split_kwargs": {"train_size": 0.2, "test_size": 0.8},
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"generation_kwargs": {
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"n_samples": 5000,
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"n_features": [40, 100],
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"n_informative": 5,
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"noise": 2.0,
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},
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}
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},
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"pca data": {
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"data": {
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"source": "make_blobs",
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"generation_kwargs": {
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"centers": 1,
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"n_samples": 1000,
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"n_features": [16, 64],
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},
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"split_kwargs": {"ignore": true},
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}
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},
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"covariance": {
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"algorithm": [
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{
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"estimator": "IncrementalEmpiricalCovariance",
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"library": "sklearnex.covariance",
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"estimator_methods": {"training": "partial_fit"},
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"num_batches": {"training": 2},
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}
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]
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},
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"basic_statistics": {
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"algorithm": [
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{
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"estimator": "IncrementalBasicStatistics",
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"library": "sklearnex.basic_statistics",
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"num_batches": {"training": 2},
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}
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]
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},
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"linear_regression": {
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"algorithm": [
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{
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"estimator": "IncrementalLinearRegression",
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"library": "sklearnex.linear_model",
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"num_batches": {"training": 2},
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}
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]
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},
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"pca": {
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"algorithm": [
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{
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"estimator": "IncrementalPCA",
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"library": "sklearnex.preview.decomposition",
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"num_batches": {"training": 2},
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}
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]
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},
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},
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"TEMPLATES": {
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"covariance": {"SETS": ["common", "covariance", "covariance data"]},
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"basic_statistics": {
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"SETS": ["common", "basic_statistics", "basic_statistics data"]
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},
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"linear_regression": {
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"SETS": ["common", "linear_regression", "linear_regression data"]
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},
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"pca": {"SETS": ["common", "pca", "pca data"]},
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},
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}

‎sklbench/benchmarks/custom_function.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -17,14 +17,14 @@
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from typing import Dict, List, Tuple
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from ..datasets import load_dataset
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from ..datasets.special_params import assign_case_special_values_on_run
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from ..datasets.transformer import split_and_transform_data
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from ..utils.bench_case import get_bench_case_value
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from ..utils.common import get_module_members
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from ..utils.config import bench_case_filter
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from ..utils.custom_types import BenchCase
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from ..utils.logger import logger
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from ..utils.measurement import measure_case
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from ..datasets.special_params import assign_case_special_values_on_run
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from .common import enrich_result, main_template
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