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.

37.csv 3.6 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071
  1. 1.360000000000000000e+02,4.400000000000000000e+01
  2. 1.800000000000000000e+02,2.600000000000000000e+01
  3. 2.680000000000000000e+02,-8.000000000000000000e+01
  4. 3.880000000000000000e+02,-1.080000000000000000e+02
  5. 2.600000000000000000e+02,1.900000000000000000e+01
  6. 1.600000000000000000e+02,4.200000000000000000e+01
  7. 3.200000000000000000e+01,1.060000000000000000e+02
  8. -8.000000000000000000e+00,1.600000000000000000e+02
  9. -4.000000000000000000e+00,2.280000000000000000e+02
  10. 1.200000000000000000e+01,3.040000000000000000e+02
  11. 4.000000000000000000e+00,3.260000000000000000e+02
  12. -6.000000000000000000e+00,1.980000000000000000e+02
  13. -4.000000000000000000e+01,7.000000000000000000e+01
  14. -6.600000000000000000e+01,-4.000000000000000000e+00
  15. -1.000000000000000000e+02,-1.400000000000000000e+01
  16. -1.100000000000000000e+02,-2.200000000000000000e+01
  17. -1.300000000000000000e+02,-2.000000000000000000e+01
  18. -1.080000000000000000e+02,-1.800000000000000000e+01
  19. -1.140000000000000000e+02,-2.000000000000000000e+01
  20. -1.000000000000000000e+02,-2.800000000000000000e+01
  21. -1.300000000000000000e+02,-3.200000000000000000e+01
  22. -1.420000000000000000e+02,-3.800000000000000000e+01
  23. -1.480000000000000000e+02,-5.400000000000000000e+01
  24. -1.560000000000000000e+02,-6.400000000000000000e+01
  25. -1.480000000000000000e+02,-8.400000000000000000e+01
  26. -2.000000000000000000e+02,-9.600000000000000000e+01
  27. -1.640000000000000000e+02,-7.800000000000000000e+01
  28. -1.620000000000000000e+02,-1.160000000000000000e+02
  29. -2.020000000000000000e+02,-1.140000000000000000e+02
  30. -1.440000000000000000e+02,-1.340000000000000000e+02
  31. -1.380000000000000000e+02,-1.260000000000000000e+02
  32. -1.080000000000000000e+02,-1.320000000000000000e+02
  33. -6.600000000000000000e+01,-1.240000000000000000e+02
  34. -6.800000000000000000e+01,-1.100000000000000000e+02
  35. 0.000000000000000000e+00,-8.400000000000000000e+01
  36. 1.800000000000000000e+01,-9.200000000000000000e+01
  37. -2.000000000000000000e+00,-6.600000000000000000e+01
  38. 2.200000000000000000e+01,-4.400000000000000000e+01
  39. 7.600000000000000000e+01,-2.400000000000000000e+01
  40. 7.200000000000000000e+01,-1.800000000000000000e+01
  41. 5.200000000000000000e+01,-4.000000000000000000e+00
  42. 6.200000000000000000e+01,1.000000000000000000e+01
  43. 5.400000000000000000e+01,1.200000000000000000e+01
  44. 5.600000000000000000e+01,1.600000000000000000e+01
  45. 5.000000000000000000e+01,1.600000000000000000e+01
  46. 5.400000000000000000e+01,2.200000000000000000e+01
  47. 4.000000000000000000e+00,2.600000000000000000e+01
  48. 2.600000000000000000e+01,3.000000000000000000e+01
  49. 3.600000000000000000e+01,3.000000000000000000e+01
  50. 3.800000000000000000e+01,3.600000000000000000e+01
  51. 3.200000000000000000e+01,5.600000000000000000e+01
  52. 7.600000000000000000e+01,7.400000000000000000e+01
  53. 5.200000000000000000e+01,9.400000000000000000e+01
  54. 9.800000000000000000e+01,9.200000000000000000e+01
  55. 1.320000000000000000e+02,8.600000000000000000e+01
  56. 1.580000000000000000e+02,5.600000000000000000e+01
  57. 1.380000000000000000e+02,5.400000000000000000e+01
  58. 1.420000000000000000e+02,4.600000000000000000e+01
  59. 1.140000000000000000e+02,4.000000000000000000e+01
  60. 7.800000000000000000e+01,4.400000000000000000e+01
  61. 8.800000000000000000e+01,1.600000000000000000e+01
  62. 7.000000000000000000e+01,4.000000000000000000e+01
  63. 1.020000000000000000e+02,2.200000000000000000e+01
  64. 5.800000000000000000e+01,3.200000000000000000e+01
  65. 7.000000000000000000e+01,1.600000000000000000e+01
  66. 4.800000000000000000e+01,1.800000000000000000e+01
  67. 4.200000000000000000e+01,8.000000000000000000e+00
  68. 4.000000000000000000e+01,1.200000000000000000e+01
  69. 2.000000000000000000e+00,8.000000000000000000e+00
  70. 2.600000000000000000e+01,4.000000000000000000e+00
  71. 3.400000000000000000e+01,3.200000000000000000e+01

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