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1 | 1 | { |
2 | 2 | "PARAMETERS_SETS": { |
3 | 3 | "common": {"bench": {"n_runs": 10, "time_limit": 60}}, |
4 | | - "covariance data": { |
| 4 | + "unlabeled dataset": { |
5 | 5 | "data": [ |
6 | 6 | { |
7 | 7 | "source": "make_blobs", |
|
14 | 14 | } |
15 | 15 | ] |
16 | 16 | }, |
17 | | - "basic_statistics data": { |
18 | | - "data": { |
19 | | - "source": "make_blobs", |
20 | | - "generation_kwargs": { |
21 | | - "centers": 1, |
22 | | - "n_samples": 10000, |
23 | | - "n_features": [16, 64] |
24 | | - }, |
25 | | - "split_kwargs": {"ignore": true} |
26 | | - } |
27 | | - }, |
28 | | - "linear_regression data": { |
| 17 | + "labeled dataset": { |
29 | 18 | "data": { |
30 | 19 | "source": "make_regression", |
31 | 20 | "split_kwargs": {"train_size": 0.2, "test_size": 0.8}, |
|
37 | 26 | } |
38 | 27 | } |
39 | 28 | }, |
40 | | - "pca data": { |
41 | | - "data": { |
42 | | - "source": "make_blobs", |
43 | | - "generation_kwargs": { |
44 | | - "centers": 1, |
45 | | - "n_samples": 1000, |
46 | | - "n_features": [16, 64] |
47 | | - }, |
48 | | - "split_kwargs": {"ignore": true} |
49 | | - } |
50 | | - }, |
51 | 29 | "covariance": { |
52 | 30 | "algorithm": [ |
53 | 31 | { |
54 | 32 | "estimator": "IncrementalEmpiricalCovariance", |
55 | | - "library": "sklearnex.covariance", |
| 33 | + "library": "sklearnex", |
56 | 34 | "estimator_methods": {"training": "partial_fit"}, |
57 | 35 | "num_batches": {"training": 2} |
58 | 36 | } |
|
62 | 40 | "algorithm": [ |
63 | 41 | { |
64 | 42 | "estimator": "IncrementalBasicStatistics", |
65 | | - "library": "sklearnex.basic_statistics", |
| 43 | + "library": "sklearnex", |
66 | 44 | "num_batches": {"training": 2} |
67 | 45 | } |
68 | 46 | ] |
|
71 | 49 | "algorithm": [ |
72 | 50 | { |
73 | 51 | "estimator": "IncrementalLinearRegression", |
74 | | - "library": "sklearnex.linear_model", |
| 52 | + "library": "sklearnex", |
75 | 53 | "num_batches": {"training": 2} |
76 | 54 | } |
77 | 55 | ] |
|
80 | 58 | "algorithm": [ |
81 | 59 | { |
82 | 60 | "estimator": "IncrementalPCA", |
83 | | - "library": "sklearnex.preview.decomposition", |
| 61 | + "library": "sklearnex.preview", |
84 | 62 | "num_batches": {"training": 2} |
85 | 63 | } |
86 | 64 | ] |
87 | 65 | } |
88 | 66 | }, |
89 | 67 | "TEMPLATES": { |
90 | | - "covariance": {"SETS": ["common", "covariance", "covariance data"]}, |
| 68 | + "covariance": {"SETS": ["common", "covariance", "unlabeled dataset"]}, |
91 | 69 | "linear_regression": { |
92 | | - "SETS": ["common", "linear_regression", "linear_regression data"] |
| 70 | + "SETS": ["common", "linear_regression", "labeled dataset"] |
93 | 71 | }, |
94 | | - "pca": {"SETS": ["common", "pca", "pca data"]} |
| 72 | + "pca": {"SETS": ["common", "pca", "unlabeled dataset"]} |
95 | 73 | } |
96 | 74 | } |
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