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iris.datasetDoc.json 1.3 kB

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  1. {
  2. "about":
  3. {
  4. "datasetID": "iris_dataset_1",
  5. "datasetName":"Iris Dataset",
  6. "humanSubjectsResearch": false,
  7. "license":"CC",
  8. "datasetSchemaVersion":"3.0",
  9. "redacted":false
  10. },
  11. "dataResources":
  12. [
  13. {
  14. "resID": "0",
  15. "resPath": "tables/learningDoc.csv",
  16. "resType": "table",
  17. "resFormat": ["text/csv"],
  18. "isCollection": false,
  19. "columns":[
  20. {
  21. "colIndex": 0,
  22. "colName": "d3mIndex",
  23. "colType": "integer",
  24. "role": ["index"]
  25. },
  26. {
  27. "colIndex": 1,
  28. "colName": "sepalLength",
  29. "colType": "real",
  30. "role": ["attribute"]
  31. },
  32. {
  33. "colIndex": 2,
  34. "colName": "sepalWidth",
  35. "colType": "real",
  36. "role": ["attribute"]
  37. },
  38. {
  39. "colIndex": 3,
  40. "colName": "petalLength",
  41. "colType": "real",
  42. "role": ["attribute"]
  43. },
  44. {
  45. "colIndex": 4,
  46. "colName": "petalWidth",
  47. "colType": "real",
  48. "role": ["attribute"]
  49. },
  50. {
  51. "colIndex": 5,
  52. "colName": "species",
  53. "colType": "categorical",
  54. "role": ["suggestedTarget"]
  55. }
  56. ]
  57. }
  58. ]
  59. }

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