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.

datasetDoc.json 4.0 kB

first commit Former-commit-id: 08bc23ba02cffbce3cf63962390a65459a132e48 [formerly 0795edd4834b9b7dc66db8d10d4cbaf42bbf82cb] [formerly b5010b42541add7e2ea2578bf2da537efc457757 [formerly a7ca09c2c34c4fc8b3d8e01fcfa08eeeb2cae99d]] [formerly 615058473a2177ca5b89e9edbb797f4c2a59c7e5 [formerly 743d8dfc6843c4c205051a8ab309fbb2116c895e] [formerly bb0ea98b1e14154ef464e2f7a16738705894e54b [formerly 960a69da74b81ef8093820e003f2d6c59a34974c]]] [formerly 2fa3be52c1b44665bc81a7cc7d4cea4bbf0d91d5 [formerly 2054589f0898627e0a17132fd9d4cc78efc91867] [formerly 3b53730e8a895e803dfdd6ca72bc05e17a4164c1 [formerly 8a2fa8ab7baf6686d21af1f322df46fd58c60e69]] [formerly 87d1e3a07a19d03c7d7c94d93ab4fa9f58dada7c [formerly f331916385a5afac1234854ee8d7f160f34b668f] [formerly 69fb3c78a483343f5071da4f7e2891b83a49dd18 [formerly 386086f05aa9487f65bce2ee54438acbdce57650]]]] Former-commit-id: a00aed8c934a6460c4d9ac902b9a74a3d6864697 [formerly 26fdeca29c2f07916d837883983ca2982056c78e] [formerly 0e3170d41a2f99ecf5c918183d361d4399d793bf [formerly 3c12ad4c88ac5192e0f5606ac0d88dd5bf8602dc]] [formerly d5894f84f2fd2e77a6913efdc5ae388cf1be0495 [formerly ad3e7bc670ff92c992730d29c9d3aa1598d844e8] [formerly 69fb3c78a483343f5071da4f7e2891b83a49dd18]] Former-commit-id: 3c19c9fae64f6106415fbc948a4dc613b9ee12f8 [formerly 467ddc0549c74bb007e8f01773bb6dc9103b417d] [formerly 5fa518345d958e2760e443b366883295de6d991c [formerly 3530e130b9fdb7280f638dbc2e785d2165ba82aa]] Former-commit-id: 9f5d473d42a435ec0d60149939d09be1acc25d92 [formerly be0b25c4ec2cde052a041baf0e11f774a158105d] Former-commit-id: 9eca71cb73ba9edccd70ac06a3b636b8d4093b04
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188
  1. {
  2. "about": {
  3. "datasetSchemaVersion": "4.0.0",
  4. "datasetID": "database_dataset_3",
  5. "datasetName": "Database dataset of type COMMENTS_PER_POST",
  6. "description": "Database dataset of type COMMENTS_PER_POST, size 100, random seed 0",
  7. "digest": "7dc0973f7fcb22fe487fe37fdaa8c269589074504c53b9728b5a5ec85e2ebb9b",
  8. "datasetVersion": "4.0.0"
  9. },
  10. "dataResources": [
  11. {
  12. "resID": "users",
  13. "isCollection": false,
  14. "columnsCount": 2,
  15. "resFormat": {
  16. "text/csv": [
  17. "csv"
  18. ]
  19. },
  20. "resType": "table",
  21. "resPath": "tables/users.csv",
  22. "columns": [
  23. {
  24. "colIndex": 0,
  25. "colName": "id",
  26. "role": [
  27. "index"
  28. ],
  29. "colType": "integer"
  30. },
  31. {
  32. "colIndex": 1,
  33. "colName": "name",
  34. "role": [
  35. "attribute"
  36. ],
  37. "colType": "string"
  38. }
  39. ]
  40. },
  41. {
  42. "resID": "posts",
  43. "isCollection": false,
  44. "columnsCount": 3,
  45. "resFormat": {
  46. "text/csv": [
  47. "csv"
  48. ]
  49. },
  50. "resType": "table",
  51. "resPath": "tables/posts.csv",
  52. "columns": [
  53. {
  54. "colIndex": 0,
  55. "colName": "id",
  56. "role": [
  57. "index"
  58. ],
  59. "colType": "integer"
  60. },
  61. {
  62. "colIndex": 1,
  63. "colName": "author_id",
  64. "role": [
  65. "attribute"
  66. ],
  67. "colType": "integer",
  68. "refersTo": {
  69. "resID": "users",
  70. "resObject": {
  71. "columnIndex": 0
  72. }
  73. }
  74. },
  75. {
  76. "colIndex": 2,
  77. "colName": "post",
  78. "role": [
  79. "attribute"
  80. ],
  81. "colType": "string"
  82. }
  83. ]
  84. },
  85. {
  86. "resID": "comments",
  87. "isCollection": false,
  88. "columnsCount": 4,
  89. "resFormat": {
  90. "text/csv": [
  91. "csv"
  92. ]
  93. },
  94. "resType": "table",
  95. "resPath": "tables/comments.csv",
  96. "columns": [
  97. {
  98. "colIndex": 0,
  99. "colName": "id",
  100. "role": [
  101. "index"
  102. ],
  103. "colType": "integer"
  104. },
  105. {
  106. "colIndex": 1,
  107. "colName": "post_id",
  108. "role": [
  109. "attribute"
  110. ],
  111. "colType": "integer",
  112. "refersTo": {
  113. "resID": "posts",
  114. "resObject": {
  115. "columnIndex": 0
  116. }
  117. }
  118. },
  119. {
  120. "colIndex": 2,
  121. "colName": "author_id",
  122. "role": [
  123. "attribute"
  124. ],
  125. "colType": "integer",
  126. "refersTo": {
  127. "resID": "users",
  128. "resObject": {
  129. "columnIndex": 0
  130. }
  131. }
  132. },
  133. {
  134. "colIndex": 3,
  135. "colName": "comment",
  136. "role": [
  137. "attribute"
  138. ],
  139. "colType": "string"
  140. }
  141. ]
  142. },
  143. {
  144. "resID": "learningData",
  145. "isCollection": false,
  146. "columnsCount": 3,
  147. "resFormat": {
  148. "text/csv": [
  149. "csv"
  150. ]
  151. },
  152. "resType": "table",
  153. "resPath": "tables/learningData.csv",
  154. "columns": [
  155. {
  156. "colIndex": 0,
  157. "colName": "d3mIndex",
  158. "role": [
  159. "index"
  160. ],
  161. "colType": "integer"
  162. },
  163. {
  164. "colIndex": 1,
  165. "colName": "post_id",
  166. "role": [
  167. "attribute"
  168. ],
  169. "colType": "integer",
  170. "refersTo": {
  171. "resID": "posts",
  172. "resObject": {
  173. "columnIndex": 0
  174. }
  175. }
  176. },
  177. {
  178. "colIndex": 2,
  179. "colName": "comments_count",
  180. "role": [
  181. "suggestedTarget"
  182. ],
  183. "colType": "integer"
  184. }
  185. ]
  186. }
  187. ]
  188. }

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)