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.

41.csv 3.4 kB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667
  1. 2.340000000000000000e+02,-1.400000000000000000e+02
  2. 3.340000000000000000e+02,-1.200000000000000000e+02
  3. 2.440000000000000000e+02,7.000000000000000000e+00
  4. 1.160000000000000000e+02,-1.200000000000000000e+01
  5. -1.200000000000000000e+01,4.600000000000000000e+01
  6. -3.800000000000000000e+01,9.800000000000000000e+01
  7. -8.000000000000000000e+00,1.660000000000000000e+02
  8. -6.800000000000000000e+01,2.400000000000000000e+02
  9. -3.400000000000000000e+01,2.480000000000000000e+02
  10. -3.600000000000000000e+01,1.360000000000000000e+02
  11. -6.400000000000000000e+01,8.000000000000000000e+00
  12. -1.400000000000000000e+02,-4.400000000000000000e+01
  13. -1.440000000000000000e+02,-4.400000000000000000e+01
  14. -1.440000000000000000e+02,-5.600000000000000000e+01
  15. -1.680000000000000000e+02,-5.400000000000000000e+01
  16. -1.440000000000000000e+02,-5.400000000000000000e+01
  17. -1.700000000000000000e+02,-5.400000000000000000e+01
  18. -1.760000000000000000e+02,-6.400000000000000000e+01
  19. -1.800000000000000000e+02,-6.200000000000000000e+01
  20. -2.220000000000000000e+02,-6.200000000000000000e+01
  21. -2.400000000000000000e+02,-7.000000000000000000e+01
  22. -2.360000000000000000e+02,-7.000000000000000000e+01
  23. -2.520000000000000000e+02,-8.000000000000000000e+01
  24. -2.740000000000000000e+02,-8.400000000000000000e+01
  25. -2.740000000000000000e+02,-9.600000000000000000e+01
  26. -2.880000000000000000e+02,-1.120000000000000000e+02
  27. -2.740000000000000000e+02,-1.160000000000000000e+02
  28. -2.540000000000000000e+02,-1.220000000000000000e+02
  29. -2.320000000000000000e+02,-1.260000000000000000e+02
  30. -1.960000000000000000e+02,-1.280000000000000000e+02
  31. -1.600000000000000000e+02,-1.180000000000000000e+02
  32. -1.140000000000000000e+02,-1.060000000000000000e+02
  33. -5.800000000000000000e+01,-9.600000000000000000e+01
  34. -2.600000000000000000e+01,-8.400000000000000000e+01
  35. 1.800000000000000000e+01,-6.200000000000000000e+01
  36. 5.000000000000000000e+01,-6.400000000000000000e+01
  37. 3.200000000000000000e+01,-3.600000000000000000e+01
  38. 6.600000000000000000e+01,-3.000000000000000000e+01
  39. 8.200000000000000000e+01,-2.400000000000000000e+01
  40. 8.400000000000000000e+01,-1.400000000000000000e+01
  41. 8.200000000000000000e+01,-1.400000000000000000e+01
  42. 7.000000000000000000e+01,-8.000000000000000000e+00
  43. 8.000000000000000000e+01,4.000000000000000000e+00
  44. 6.400000000000000000e+01,0.000000000000000000e+00
  45. 8.400000000000000000e+01,0.000000000000000000e+00
  46. 6.200000000000000000e+01,1.400000000000000000e+01
  47. 7.000000000000000000e+01,1.400000000000000000e+01
  48. 7.800000000000000000e+01,1.600000000000000000e+01
  49. 6.400000000000000000e+01,1.800000000000000000e+01
  50. 6.800000000000000000e+01,1.800000000000000000e+01
  51. 8.200000000000000000e+01,1.800000000000000000e+01
  52. 9.400000000000000000e+01,1.800000000000000000e+01
  53. 9.200000000000000000e+01,1.200000000000000000e+01
  54. 1.080000000000000000e+02,2.000000000000000000e+01
  55. 1.280000000000000000e+02,4.600000000000000000e+01
  56. 1.560000000000000000e+02,4.600000000000000000e+01
  57. 1.560000000000000000e+02,3.800000000000000000e+01
  58. 1.800000000000000000e+02,3.200000000000000000e+01
  59. 1.940000000000000000e+02,8.000000000000000000e+00
  60. 1.620000000000000000e+02,-6.000000000000000000e+00
  61. 1.780000000000000000e+02,-4.000000000000000000e+00
  62. 1.540000000000000000e+02,-1.800000000000000000e+01
  63. 1.500000000000000000e+02,-4.800000000000000000e+01
  64. 1.440000000000000000e+02,-1.600000000000000000e+02
  65. 1.420000000000000000e+02,-2.400000000000000000e+02
  66. 1.560000000000000000e+02,-2.320000000000000000e+02
  67. 2.800000000000000000e+01,-3.000000000000000000e+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