|
8 | 8 | "generation_kwargs": { |
9 | 9 | "centers": 1, |
10 | 10 | "n_samples": 1000, |
11 | | - "n_features": [16, 64], |
| 11 | + "n_features": [16, 64] |
12 | 12 | }, |
13 | | - "split_kwargs": {"ignore": true}, |
| 13 | + "split_kwargs": {"ignore": true} |
14 | 14 | }, |
15 | 15 | { |
16 | 16 | "dataset_sequence": [ |
|
19 | 19 | "generation_kwargs": { |
20 | 20 | "centers": 1, |
21 | 21 | "n_samples": 1000, |
22 | | - "n_features": 16, |
| 22 | + "n_features": 16 |
23 | 23 | }, |
24 | | - "split_kwargs": {"ignore": true}, |
| 24 | + "split_kwargs": {"ignore": true} |
25 | 25 | }, |
26 | 26 | { |
27 | 27 | "source": "make_blobs", |
28 | 28 | "generation_kwargs": { |
29 | 29 | "centers": 1, |
30 | 30 | "n_samples": 2000, |
31 | | - "n_features": 16, |
| 31 | + "n_features": 16 |
32 | 32 | }, |
33 | | - "split_kwargs": {"ignore": true}, |
34 | | - }, |
| 33 | + "split_kwargs": {"ignore": true} |
| 34 | + } |
35 | 35 | ] |
36 | | - }, |
| 36 | + } |
37 | 37 | ] |
38 | 38 | }, |
39 | 39 | "basic_statistics data": { |
|
42 | 42 | "generation_kwargs": { |
43 | 43 | "centers": 1, |
44 | 44 | "n_samples": 10000, |
45 | | - "n_features": [16, 64], |
| 45 | + "n_features": [16, 64] |
46 | 46 | }, |
47 | | - "split_kwargs": {"ignore": true}, |
| 47 | + "split_kwargs": {"ignore": true} |
48 | 48 | } |
49 | 49 | }, |
50 | 50 | "linear_regression data": { |
|
55 | 55 | "n_samples": 5000, |
56 | 56 | "n_features": [40, 100], |
57 | 57 | "n_informative": 5, |
58 | | - "noise": 2.0, |
59 | | - }, |
| 58 | + "noise": 2.0 |
| 59 | + } |
60 | 60 | } |
61 | 61 | }, |
62 | 62 | "pca data": { |
|
65 | 65 | "generation_kwargs": { |
66 | 66 | "centers": 1, |
67 | 67 | "n_samples": 1000, |
68 | | - "n_features": [16, 64], |
| 68 | + "n_features": [16, 64] |
69 | 69 | }, |
70 | | - "split_kwargs": {"ignore": true}, |
| 70 | + "split_kwargs": {"ignore": true} |
71 | 71 | } |
72 | 72 | }, |
73 | 73 | "covariance": { |
|
76 | 76 | "estimator": "IncrementalEmpiricalCovariance", |
77 | 77 | "library": "sklearnex.covariance", |
78 | 78 | "estimator_methods": {"training": "partial_fit"}, |
79 | | - "num_batches": {"training": 2}, |
| 79 | + "num_batches": {"training": 2} |
80 | 80 | } |
81 | 81 | ] |
82 | 82 | }, |
|
85 | 85 | { |
86 | 86 | "estimator": "IncrementalBasicStatistics", |
87 | 87 | "library": "sklearnex.basic_statistics", |
88 | | - "num_batches": {"training": 2}, |
| 88 | + "num_batches": {"training": 2} |
89 | 89 | } |
90 | 90 | ] |
91 | 91 | }, |
|
94 | 94 | { |
95 | 95 | "estimator": "IncrementalLinearRegression", |
96 | 96 | "library": "sklearnex.linear_model", |
97 | | - "num_batches": {"training": 2}, |
| 97 | + "num_batches": {"training": 2} |
98 | 98 | } |
99 | 99 | ] |
100 | 100 | }, |
|
103 | 103 | { |
104 | 104 | "estimator": "IncrementalPCA", |
105 | 105 | "library": "sklearnex.preview.decomposition", |
106 | | - "num_batches": {"training": 2}, |
| 106 | + "num_batches": {"training": 2} |
107 | 107 | } |
108 | 108 | ] |
109 | | - }, |
| 109 | + } |
110 | 110 | }, |
111 | 111 | "TEMPLATES": { |
112 | 112 | "covariance": {"SETS": ["common", "covariance", "covariance data"]}, |
|
116 | 116 | "linear_regression": { |
117 | 117 | "SETS": ["common", "linear_regression", "linear_regression data"] |
118 | 118 | }, |
119 | | - "pca": {"SETS": ["common", "pca", "pca data"]}, |
120 | | - }, |
| 119 | + "pca": {"SETS": ["common", "pca", "pca data"]} |
| 120 | + } |
121 | 121 | } |
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