|
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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