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users.csv 1.1 kB

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4 years ago
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  1. id,name
  2. 0,User 0
  3. 1,User 1
  4. 2,User 2
  5. 3,User 3
  6. 4,User 4
  7. 5,User 5
  8. 6,User 6
  9. 7,User 7
  10. 8,User 8
  11. 9,User 9
  12. 10,User 10
  13. 11,User 11
  14. 12,User 12
  15. 13,User 13
  16. 14,User 14
  17. 15,User 15
  18. 16,User 16
  19. 17,User 17
  20. 18,User 18
  21. 19,User 19
  22. 20,User 20
  23. 21,User 21
  24. 22,User 22
  25. 23,User 23
  26. 24,User 24
  27. 25,User 25
  28. 26,User 26
  29. 27,User 27
  30. 28,User 28
  31. 29,User 29
  32. 30,User 30
  33. 31,User 31
  34. 32,User 32
  35. 33,User 33
  36. 34,User 34
  37. 35,User 35
  38. 36,User 36
  39. 37,User 37
  40. 38,User 38
  41. 39,User 39
  42. 40,User 40
  43. 41,User 41
  44. 42,User 42
  45. 43,User 43
  46. 44,User 44
  47. 45,User 45
  48. 46,User 46
  49. 47,User 47
  50. 48,User 48
  51. 49,User 49
  52. 50,User 50
  53. 51,User 51
  54. 52,User 52
  55. 53,User 53
  56. 54,User 54
  57. 55,User 55
  58. 56,User 56
  59. 57,User 57
  60. 58,User 58
  61. 59,User 59
  62. 60,User 60
  63. 61,User 61
  64. 62,User 62
  65. 63,User 63
  66. 64,User 64
  67. 65,User 65
  68. 66,User 66
  69. 67,User 67
  70. 68,User 68
  71. 69,User 69
  72. 70,User 70
  73. 71,User 71
  74. 72,User 72
  75. 73,User 73
  76. 74,User 74
  77. 75,User 75
  78. 76,User 76
  79. 77,User 77
  80. 78,User 78
  81. 79,User 79
  82. 80,User 80
  83. 81,User 81
  84. 82,User 82
  85. 83,User 83
  86. 84,User 84
  87. 85,User 85
  88. 86,User 86
  89. 87,User 87
  90. 88,User 88
  91. 89,User 89
  92. 90,User 90
  93. 91,User 91
  94. 92,User 92
  95. 93,User 93
  96. 94,User 94
  97. 95,User 95
  98. 96,User 96
  99. 97,User 97
  100. 98,User 98
  101. 99,User 99

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)