You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

values.csv 1.8 kB

first commit Former-commit-id: 08bc23ba02cffbce3cf63962390a65459a132e48 [formerly 0795edd4834b9b7dc66db8d10d4cbaf42bbf82cb] [formerly b5010b42541add7e2ea2578bf2da537efc457757 [formerly a7ca09c2c34c4fc8b3d8e01fcfa08eeeb2cae99d]] [formerly 615058473a2177ca5b89e9edbb797f4c2a59c7e5 [formerly 743d8dfc6843c4c205051a8ab309fbb2116c895e] [formerly bb0ea98b1e14154ef464e2f7a16738705894e54b [formerly 960a69da74b81ef8093820e003f2d6c59a34974c]]] [formerly 2fa3be52c1b44665bc81a7cc7d4cea4bbf0d91d5 [formerly 2054589f0898627e0a17132fd9d4cc78efc91867] [formerly 3b53730e8a895e803dfdd6ca72bc05e17a4164c1 [formerly 8a2fa8ab7baf6686d21af1f322df46fd58c60e69]] [formerly 87d1e3a07a19d03c7d7c94d93ab4fa9f58dada7c [formerly f331916385a5afac1234854ee8d7f160f34b668f] [formerly 69fb3c78a483343f5071da4f7e2891b83a49dd18 [formerly 386086f05aa9487f65bce2ee54438acbdce57650]]]] Former-commit-id: a00aed8c934a6460c4d9ac902b9a74a3d6864697 [formerly 26fdeca29c2f07916d837883983ca2982056c78e] [formerly 0e3170d41a2f99ecf5c918183d361d4399d793bf [formerly 3c12ad4c88ac5192e0f5606ac0d88dd5bf8602dc]] [formerly d5894f84f2fd2e77a6913efdc5ae388cf1be0495 [formerly ad3e7bc670ff92c992730d29c9d3aa1598d844e8] [formerly 69fb3c78a483343f5071da4f7e2891b83a49dd18]] Former-commit-id: 3c19c9fae64f6106415fbc948a4dc613b9ee12f8 [formerly 467ddc0549c74bb007e8f01773bb6dc9103b417d] [formerly 5fa518345d958e2760e443b366883295de6d991c [formerly 3530e130b9fdb7280f638dbc2e785d2165ba82aa]] Former-commit-id: 9f5d473d42a435ec0d60149939d09be1acc25d92 [formerly be0b25c4ec2cde052a041baf0e11f774a158105d] Former-commit-id: 9eca71cb73ba9edccd70ac06a3b636b8d4093b04
4 years ago
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465
  1. code,key,year,value
  2. AAA,fff,1980,47.6978880950964
  3. AAA,ggg,1980,8.5102073882048
  4. AAA,hhh,1980,28937699
  5. AAA,iii,1980,31.2853842116054
  6. BBB,fff,1980,40.017000543436
  7. BBB,ggg,1980,0.088668203582195
  8. BBB,hhh,1980,1324191
  9. BBB,iii,1980,31.5974898513652
  10. CCC,fff,1980,19.1174351291049
  11. CCC,ggg,1980,3.93265041799129
  12. CCC,hhh,1980,40680946
  13. CCC,iii,1980,44.5079211390026
  14. DDD,fff,1980,26.3623503812716
  15. DDD,ggg,1980,1.92536841530696
  16. DDD,hhh,1980,231871389
  17. DDD,iii,1980,22.4711322042954
  18. AAA,fff,1990,47.4553181402273
  19. AAA,ggg,1990,8.70342011230219
  20. AAA,hhh,1990,30440944
  21. AAA,iii,1990,32.0290757076957
  22. BBB,fff,1990,39.7447929589982
  23. BBB,ggg,1990,0.208550573514077
  24. BBB,hhh,1990,1358967
  25. BBB,iii,1990,31.8190266061615
  26. CCC,fff,1990,18.1079412466031
  27. CCC,ggg,1990,4.17195041631032
  28. CCC,hhh,1990,41697325
  29. CCC,iii,1990,45.206665319194
  30. DDD,fff,1990,24.5407077023555
  31. DDD,ggg,1990,2.16383747049959
  32. DDD,hhh,1990,239260861
  33. DDD,iii,1990,23.1221808000131
  34. AAA,fff,2000,47.1985790784782
  35. AAA,ggg,2000,7.57819143910044
  36. AAA,hhh,2000,32023589
  37. AAA,iii,2000,32.780322721748
  38. BBB,fff,2000,39.3127951747193
  39. BBB,ggg,2000,0.017809439002671
  40. BBB,hhh,2000,1395610
  41. BBB,iii,2000,32.0578605237552
  42. CCC,fff,2000,17.2041249395661
  43. CCC,ggg,2000,4.85743169997929
  44. CCC,hhh,2000,42662735
  45. CCC,iii,2000,45.866564696018
  46. DDD,fff,2000,36.4059763551675
  47. DDD,ggg,2000,1.78711972147311
  48. DDD,hhh,2000,247991158
  49. DDD,iii,2000,23.651145327486
  50. AAA,fff,2010,46.9193698023565
  51. AAA,ggg,2010,8.06572068707991
  52. AAA,hhh,2010,33702951
  53. AAA,iii,2010,33.5558808208595
  54. BBB,fff,2010,38.7256964353179
  55. BBB,ggg,2010,0
  56. BBB,hhh,2010,1433393
  57. BBB,iii,2010,32.3139419105331
  58. CCC,fff,2010,16.9941914183028
  59. CCC,ggg,2010,3.60319993005617
  60. CCC,hhh,2010,43670268
  61. CCC,iii,2010,46.5340927663649
  62. DDD,fff,2010,40.2972491778884
  63. DDD,ggg,2010,1.70584120202376
  64. DDD,hhh,2010,258930584
  65. DDD,iii,2010,24.1179584421312

全栈的自动化机器学习系统,主要针对多变量时间序列数据的异常检测。TODS提供了详尽的用于构建基于机器学习的异常检测系统的模块,它们包括:数据处理(data processing),时间序列处理( time series processing),特征分析(feature analysis),检测算法(detection algorithms),和强化模块( reinforcement module)。这些模块所提供的功能包括常见的数据预处理、时间序列数据的平滑或变换,从时域或频域中抽取特征、多种多样的检测算

Contributors (1)