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tods/datasets/data-supply/schemas/problemSchema.json

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  1. {

  2. 	"about":{"type":"dict", "required":true, "allow_unknown":true, "schema": {

  3. 		"problemID":{"type":"string", "required":true, "empty":false},

  4. 		"problemName":{"type":"string", "required":true, "empty":false},

  5. 		"problemDescription":{"type":"string", "required":false},

  6. 		"problemURI":{"type":"string","required":false},

  7. 		"taskKeywords":{"type":"list", "required":true, "schema":{"type":"string"}},

  8. 		"problemVersion":{"type":"string", "required":true},

  9. 		"problemSchemaVersion":{"type":"string", "required":true}

  10. 	}},

  11. 	"inputs":{"type":"dict","required":true,"allow_unknown":true,"schema":{

  12. 		"data":{"type":"list","required":true,"schema":{"type":"dict", "required": true, "allow_unknown":true, "schema": {

  13. 			"datasetID":{"type":"string","required":true},

  14. 			"targets":{"type":"list", "required":true,"schema":{"type":"dict","required":true,"allow_unknown":true,"schema":{

  15. 				"targetIndex":{"type":"integer","required":true},

  16. 				"resID":{"type":"string","required":true},

  17. 				"colIndex":{"type":"integer", "required":true},

  18. 				"colName":{"type":"string","required":true},

  19. 				"numClusters":{"type":"integer","required":false}

  20. 			}}},

  21. 			"forecastingHorizon":{"type":"dict", "required":false, "allow_unknown":true, "schema":{

  22. 				"resID":{"type":"string","required":true},

  23. 				"colIndex":{"type":"integer", "required":true},

  24. 				"colName":{"type":"string","required":true},

  25. 				"horizonValue":{"type":"number", "required":true}

  26. 			}},

  27. 			"privilegedData":{"type":"list", "required":false,"schema":{"type":"dict","required":true,"allow_unknown":true,"schema":{

  28. 				"privilegedDataIndex":{"type":"integer","required":true},

  29. 				"resID":{"type":"string","required":true},

  30. 				"colIndex":{"type":"integer", "required":true},

  31. 				"colName":{"type":"string","required":true}

  32. 			}}}

  33. 		}}},

  34. 		"dataSplits":{"type":"dict","required":false,"allow_unknown":true,"schema":{

  35. 			"method":{"type":"string","required":false},

  36. 			"testSize":{"type":"float","required":false,"min":0.0,"max":1.0},

  37. 			"numFolds":{"type":"integer","required":false},

  38. 			"stratified":{"type":"boolean","required":false},

  39. 			"numRepeats":{"type":"integer","required":false},

  40. 			"randomSeed":{"type":"integer","required":false},

  41. 			"splitsFile":{"type":"string", "required":false},

  42. 			"splitScript":{"type":"string", "required":false},

  43. 			"datasetViewMaps":{"type":"dict","required":false,"allow_unknown":true,"schema":{

  44. 				"train":{"type":"list", "required":false, "schema":{"type":"dict", "required":true, "allow_unknown":true, "schema":{

  45. 					"from":{"type":"string", "required":true},

  46. 					"to":{"type":"string", "required":true}

  47. 				}}},

  48. 				"test":{"type":"list", "required":false, "schema":{"type":"dict", "required":true, "allow_unknown":true, "schema":{

  49. 					"from":{"type":"string", "required":true},

  50. 					"to":{"type":"string", "required":true}

  51. 				}}},

  52. 				"score":{"type":"list", "required":false, "schema":{"type":"dict", "required":true, "allow_unknown":true, "schema":{

  53. 					"from":{"type":"string", "required":true},

  54. 					"to":{"type":"string", "required":true}

  55. 				}}}

  56. 			}}

  57. 		}},

  58. 		"performanceMetrics":{"type":"list","required":true,"schema":{"type":"dict","required":true,"allow_unknown":true,"schema":{

  59. 			"metric":{"type":"string","required":true},

  60. 			"K":{"type":"integer","required":false,"dependencies": {"metric":"precisionAtTopK"}},

  61. 			"posLabel":{"type":"string","required":false, "dependencies": {"metric":["f1","precision","recall","jaccardSimilarityScore"]}}

  62. 		}}}

  63. 	}},

  64. 	"expectedOutputs":{"type":"dict","required":false,"allow_unknown":true,"schema":{

  65. 		"predictionsFile": {"type":"string", "required":false, "default":"predictions.csv"},

  66. 		"scoresFile": {"type":"string", "required":false, "default":"scores.csv"}

  67. 	}},

  68. 	"dataAugmentation":{"type":"list", "required":false,"schema":{"type":"dict","allow_unknown":true,"schema":{

  69. 		"domain":{"type":"list","required":false, "schema":{"type":"string"}},

  70. 		"keywords":{"type":"list", "required":false, "schema":{"type":"string"}}

  71. 	}}}

  72. }