|
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 | }
|
0 commit comments