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.

127.csv 3.5 kB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869
  1. 1.600000000000000000e+01,-5.200000000000000000e+01
  2. 1.260000000000000000e+02,-1.800000000000000000e+02
  3. 2.380000000000000000e+02,-1.980000000000000000e+02
  4. 1.340000000000000000e+02,-7.100000000000000000e+01
  5. 3.600000000000000000e+01,2.800000000000000000e+01
  6. -9.200000000000000000e+01,9.000000000000000000e+01
  7. 1.600000000000000000e+01,1.460000000000000000e+02
  8. 6.000000000000000000e+01,2.020000000000000000e+02
  9. 4.400000000000000000e+01,2.900000000000000000e+02
  10. 5.400000000000000000e+01,3.160000000000000000e+02
  11. 2.000000000000000000e+01,1.960000000000000000e+02
  12. -1.400000000000000000e+01,6.800000000000000000e+01
  13. -1.040000000000000000e+02,-4.000000000000000000e+00
  14. -1.120000000000000000e+02,-8.000000000000000000e+00
  15. -1.320000000000000000e+02,-1.800000000000000000e+01
  16. -1.380000000000000000e+02,-2.200000000000000000e+01
  17. -1.480000000000000000e+02,-1.600000000000000000e+01
  18. -1.440000000000000000e+02,-2.200000000000000000e+01
  19. -1.480000000000000000e+02,-2.400000000000000000e+01
  20. -1.600000000000000000e+02,-1.800000000000000000e+01
  21. -1.660000000000000000e+02,-2.800000000000000000e+01
  22. -1.720000000000000000e+02,-2.400000000000000000e+01
  23. -1.900000000000000000e+02,-2.400000000000000000e+01
  24. -1.960000000000000000e+02,-2.800000000000000000e+01
  25. -1.920000000000000000e+02,-2.600000000000000000e+01
  26. -1.960000000000000000e+02,-3.000000000000000000e+01
  27. -2.020000000000000000e+02,-3.200000000000000000e+01
  28. -2.120000000000000000e+02,-4.400000000000000000e+01
  29. -2.180000000000000000e+02,-4.800000000000000000e+01
  30. -2.340000000000000000e+02,-6.400000000000000000e+01
  31. -2.400000000000000000e+02,-5.000000000000000000e+01
  32. -2.220000000000000000e+02,-5.400000000000000000e+01
  33. -1.960000000000000000e+02,-5.000000000000000000e+01
  34. -1.800000000000000000e+02,-5.600000000000000000e+01
  35. -1.420000000000000000e+02,-6.800000000000000000e+01
  36. -1.280000000000000000e+02,-9.000000000000000000e+01
  37. -1.060000000000000000e+02,-1.020000000000000000e+02
  38. -1.120000000000000000e+02,-1.080000000000000000e+02
  39. -1.020000000000000000e+02,-1.060000000000000000e+02
  40. -7.200000000000000000e+01,-9.000000000000000000e+01
  41. -3.600000000000000000e+01,-8.400000000000000000e+01
  42. -1.200000000000000000e+01,-7.200000000000000000e+01
  43. -8.000000000000000000e+00,-5.600000000000000000e+01
  44. 6.000000000000000000e+00,-5.000000000000000000e+01
  45. 1.600000000000000000e+01,-3.600000000000000000e+01
  46. 2.000000000000000000e+01,-2.400000000000000000e+01
  47. 1.400000000000000000e+01,-2.200000000000000000e+01
  48. 1.200000000000000000e+01,-1.400000000000000000e+01
  49. 8.000000000000000000e+00,-1.400000000000000000e+01
  50. 2.000000000000000000e+00,-6.000000000000000000e+00
  51. -8.000000000000000000e+00,-1.000000000000000000e+01
  52. -8.000000000000000000e+00,-6.000000000000000000e+00
  53. -1.400000000000000000e+01,0.000000000000000000e+00
  54. -2.000000000000000000e+00,0.000000000000000000e+00
  55. -1.400000000000000000e+01,4.000000000000000000e+00
  56. -1.600000000000000000e+01,4.000000000000000000e+00
  57. -1.000000000000000000e+01,2.000000000000000000e+00
  58. -1.200000000000000000e+01,1.200000000000000000e+01
  59. -4.000000000000000000e+00,1.800000000000000000e+01
  60. -4.000000000000000000e+00,8.000000000000000000e+00
  61. 0.000000000000000000e+00,2.000000000000000000e+01
  62. 2.200000000000000000e+01,2.800000000000000000e+01
  63. 8.200000000000000000e+01,-1.800000000000000000e+01
  64. 1.980000000000000000e+02,-1.200000000000000000e+02
  65. 3.240000000000000000e+02,-1.480000000000000000e+02
  66. 2.100000000000000000e+02,-2.100000000000000000e+01
  67. 2.280000000000000000e+02,9.800000000000000000e+01
  68. 1.000000000000000000e+02,1.380000000000000000e+02
  69. 1.000000000000000000e+02,1.940000000000000000e+02

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