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.

130.csv 3.7 kB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172
  1. 1.550000000000000000e+02,1.620000000000000000e+02
  2. 2.140000000000000000e+02,2.200000000000000000e+02
  3. 1.760000000000000000e+02,2.980000000000000000e+02
  4. 2.080000000000000000e+02,2.640000000000000000e+02
  5. 2.240000000000000000e+02,1.360000000000000000e+02
  6. 9.600000000000000000e+01,1.200000000000000000e+01
  7. -3.200000000000000000e+01,-2.000000000000000000e+00
  8. -9.600000000000000000e+01,-2.000000000000000000e+01
  9. -1.200000000000000000e+02,-1.600000000000000000e+01
  10. -1.280000000000000000e+02,-2.400000000000000000e+01
  11. -1.440000000000000000e+02,-2.600000000000000000e+01
  12. -1.480000000000000000e+02,-2.200000000000000000e+01
  13. -1.620000000000000000e+02,-3.200000000000000000e+01
  14. -1.660000000000000000e+02,-3.200000000000000000e+01
  15. -1.640000000000000000e+02,-2.600000000000000000e+01
  16. -1.680000000000000000e+02,-3.400000000000000000e+01
  17. -1.640000000000000000e+02,-3.400000000000000000e+01
  18. -1.720000000000000000e+02,-2.800000000000000000e+01
  19. -1.720000000000000000e+02,-3.600000000000000000e+01
  20. -1.860000000000000000e+02,-4.000000000000000000e+01
  21. -1.880000000000000000e+02,-4.400000000000000000e+01
  22. -1.980000000000000000e+02,-5.200000000000000000e+01
  23. -1.780000000000000000e+02,-4.400000000000000000e+01
  24. -2.020000000000000000e+02,-4.200000000000000000e+01
  25. -1.860000000000000000e+02,-6.000000000000000000e+01
  26. -1.720000000000000000e+02,-5.600000000000000000e+01
  27. -1.580000000000000000e+02,-5.600000000000000000e+01
  28. -1.240000000000000000e+02,-6.400000000000000000e+01
  29. -9.600000000000000000e+01,-5.200000000000000000e+01
  30. -6.000000000000000000e+01,-4.000000000000000000e+01
  31. -2.800000000000000000e+01,-4.400000000000000000e+01
  32. 1.200000000000000000e+01,-4.600000000000000000e+01
  33. 1.800000000000000000e+01,-4.600000000000000000e+01
  34. 4.600000000000000000e+01,-5.200000000000000000e+01
  35. 2.400000000000000000e+01,-4.600000000000000000e+01
  36. 4.000000000000000000e+01,-3.400000000000000000e+01
  37. 5.000000000000000000e+01,-3.400000000000000000e+01
  38. 6.800000000000000000e+01,-2.800000000000000000e+01
  39. 5.600000000000000000e+01,-1.400000000000000000e+01
  40. 3.400000000000000000e+01,-1.600000000000000000e+01
  41. 5.800000000000000000e+01,-1.200000000000000000e+01
  42. 3.800000000000000000e+01,-1.400000000000000000e+01
  43. 6.000000000000000000e+01,-8.000000000000000000e+00
  44. 4.600000000000000000e+01,-6.000000000000000000e+00
  45. 6.200000000000000000e+01,-4.000000000000000000e+00
  46. 6.000000000000000000e+01,-2.000000000000000000e+00
  47. 7.400000000000000000e+01,-6.000000000000000000e+00
  48. 6.200000000000000000e+01,6.000000000000000000e+00
  49. 7.600000000000000000e+01,4.000000000000000000e+00
  50. 1.080000000000000000e+02,2.000000000000000000e+00
  51. 8.800000000000000000e+01,1.000000000000000000e+01
  52. 1.280000000000000000e+02,1.000000000000000000e+01
  53. 9.400000000000000000e+01,6.000000000000000000e+00
  54. 8.600000000000000000e+01,1.600000000000000000e+01
  55. 6.800000000000000000e+01,1.200000000000000000e+01
  56. 1.020000000000000000e+02,1.000000000000000000e+01
  57. 1.120000000000000000e+02,-6.000000000000000000e+00
  58. 9.400000000000000000e+01,-8.000000000000000000e+00
  59. 7.400000000000000000e+01,-3.000000000000000000e+01
  60. 5.600000000000000000e+01,-1.600000000000000000e+01
  61. 3.800000000000000000e+01,-3.000000000000000000e+01
  62. 6.400000000000000000e+01,-1.800000000000000000e+01
  63. 3.400000000000000000e+01,-2.000000000000000000e+01
  64. 6.000000000000000000e+01,-3.000000000000000000e+01
  65. 2.400000000000000000e+01,-6.000000000000000000e+00
  66. 8.000000000000000000e+01,-8.000000000000000000e+00
  67. 8.400000000000000000e+01,-4.600000000000000000e+01
  68. 2.040000000000000000e+02,-1.480000000000000000e+02
  69. 3.310000000000000000e+02,-1.780000000000000000e+02
  70. 2.740000000000000000e+02,-5.100000000000000000e+01
  71. 2.300000000000000000e+02,-8.000000000000000000e+00
  72. 1.020000000000000000e+02,3.600000000000000000e+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