- 删除测试脚本: test_2026_classification.py, test_lagllama.py, test_timesfm.py, test_ttm.py - 删除2019相关文件: analyze_2019_*, apply_2019_*, dlinear_2019_*, three_models_2019_* - 添加集成模型相关代码和分析脚本 - 添加N-BEATS模型和CatBoost分类模型
1.7 KiB
1.7 KiB
| 1 | iter | Passed | Remaining |
|---|---|---|---|
| 2 | 0 | 61 | 61139 |
| 3 | 1 | 66 | 33196 |
| 4 | 2 | 71 | 23708 |
| 5 | 3 | 76 | 18990 |
| 6 | 4 | 81 | 16262 |
| 7 | 5 | 86 | 14390 |
| 8 | 6 | 91 | 13010 |
| 9 | 7 | 97 | 12050 |
| 10 | 8 | 101 | 11219 |
| 11 | 9 | 107 | 10684 |
| 12 | 10 | 113 | 10199 |
| 13 | 11 | 118 | 9733 |
| 14 | 12 | 123 | 9371 |
| 15 | 13 | 129 | 9088 |
| 16 | 14 | 134 | 8843 |
| 17 | 15 | 139 | 8565 |
| 18 | 16 | 144 | 8375 |
| 19 | 17 | 149 | 8180 |
| 20 | 18 | 155 | 8031 |
| 21 | 19 | 160 | 7880 |
| 22 | 20 | 166 | 7774 |
| 23 | 21 | 171 | 7632 |
| 24 | 22 | 176 | 7499 |
| 25 | 23 | 181 | 7396 |
| 26 | 24 | 186 | 7277 |
| 27 | 25 | 191 | 7171 |
| 28 | 26 | 196 | 7090 |
| 29 | 27 | 202 | 7024 |
| 30 | 28 | 207 | 6943 |
| 31 | 29 | 217 | 7041 |
| 32 | 30 | 225 | 7061 |
| 33 | 31 | 234 | 7092 |
| 34 | 32 | 241 | 7067 |
| 35 | 33 | 247 | 7032 |
| 36 | 34 | 255 | 7032 |
| 37 | 35 | 261 | 7005 |
| 38 | 36 | 269 | 7006 |
| 39 | 37 | 275 | 6984 |
| 40 | 38 | 283 | 6981 |
| 41 | 39 | 289 | 6954 |
| 42 | 40 | 300 | 7027 |
| 43 | 41 | 308 | 7033 |
| 44 | 42 | 316 | 7052 |
| 45 | 43 | 324 | 7043 |
| 46 | 44 | 331 | 7029 |
| 47 | 45 | 336 | 6977 |
| 48 | 46 | 341 | 6926 |
| 49 | 47 | 349 | 6929 |
| 50 | 48 | 356 | 6923 |
| 51 | 49 | 364 | 6922 |
| 52 | 50 | 369 | 6878 |
| 53 | 51 | 375 | 6844 |
| 54 | 52 | 380 | 6806 |
| 55 | 53 | 386 | 6773 |
| 56 | 54 | 391 | 6730 |
| 57 | 55 | 396 | 6685 |
| 58 | 56 | 401 | 6646 |
| 59 | 57 | 406 | 6600 |
| 60 | 58 | 411 | 6566 |
| 61 | 59 | 416 | 6531 |
| 62 | 60 | 421 | 6490 |
| 63 | 61 | 427 | 6462 |
| 64 | 62 | 432 | 6425 |
| 65 | 63 | 436 | 6384 |
| 66 | 64 | 441 | 6349 |
| 67 | 65 | 446 | 6316 |
| 68 | 66 | 452 | 6296 |
| 69 | 67 | 457 | 6267 |
| 70 | 68 | 462 | 6243 |
| 71 | 69 | 467 | 6211 |
| 72 | 70 | 472 | 6182 |
| 73 | 71 | 477 | 6156 |
| 74 | 72 | 482 | 6128 |
| 75 | 73 | 487 | 6104 |
| 76 | 74 | 493 | 6088 |
| 77 | 75 | 499 | 6068 |
| 78 | 76 | 504 | 6043 |
| 79 | 77 | 509 | 6020 |
| 80 | 78 | 515 | 6005 |
| 81 | 79 | 519 | 5979 |
| 82 | 80 | 525 | 5959 |
| 83 | 81 | 530 | 5935 |
| 84 | 82 | 534 | 5908 |
| 85 | 83 | 539 | 5887 |
| 86 | 84 | 545 | 5876 |
| 87 | 85 | 555 | 5906 |
| 88 | 86 | 562 | 5903 |
| 89 | 87 | 568 | 5889 |
| 90 | 88 | 575 | 5890 |
| 91 | 89 | 580 | 5874 |
| 92 | 90 | 585 | 5852 |
| 93 | 91 | 592 | 5844 |
| 94 | 92 | 597 | 5830 |
| 95 | 93 | 602 | 5806 |
| 96 | 94 | 607 | 5791 |
| 97 | 95 | 613 | 5778 |
| 98 | 96 | 618 | 5756 |
| 99 | 97 | 623 | 5743 |
| 100 | 98 | 629 | 5729 |
| 101 | 99 | 634 | 5713 |
| 102 | 100 | 640 | 5701 |
| 103 | 101 | 645 | 5684 |
| 104 | 102 | 650 | 5664 |
| 105 | 103 | 655 | 5647 |
| 106 | 104 | 661 | 5641 |
| 107 | 105 | 667 | 5626 |
| 108 | 106 | 672 | 5610 |
| 109 | 107 | 677 | 5595 |
| 110 | 108 | 682 | 5580 |
| 111 | 109 | 687 | 5566 |
| 112 | 110 | 693 | 5552 |
| 113 | 111 | 699 | 5543 |
| 114 | 112 | 704 | 5529 |
| 115 | 113 | 709 | 5513 |
| 116 | 114 | 714 | 5498 |
| 117 | 115 | 719 | 5481 |
| 118 | 116 | 725 | 5477 |
| 119 | 117 | 731 | 5468 |
| 120 | 118 | 737 | 5460 |
| 121 | 119 | 744 | 5458 |
| 122 | 120 | 751 | 5456 |
| 123 | 121 | 758 | 5455 |
| 124 | 122 | 763 | 5446 |
| 125 | 123 | 774 | 5469 |
| 126 | 124 | 781 | 5467 |
| 127 | 125 | 792 | 5495 |
| 128 | 126 | 797 | 5480 |
| 129 | 127 | 804 | 5481 |
| 130 | 128 | 809 | 5466 |
| 131 | 129 | 814 | 5448 |
| 132 | 130 | 819 | 5437 |
| 133 | 131 | 825 | 5429 |
| 134 | 132 | 830 | 5416 |
| 135 | 133 | 838 | 5418 |
| 136 | 134 | 843 | 5403 |
| 137 | 135 | 848 | 5392 |
| 138 | 136 | 854 | 5384 |
| 139 | 137 | 860 | 5375 |
| 140 | 138 | 867 | 5370 |
| 141 | 139 | 872 | 5357 |