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  1. {
  2. "system": {
  3. "description": "weekend test on ormat new data",
  4. "operational status": "OPERATIONAL",
  5. "workflow type": "PROCESSING",
  6. "algorithm family": "BATCH_OUTLIER_DETECTION",
  7. "max threads": 12,
  8. "number of parameters": 0,
  9. "debug": 1,
  10. "debug max results": 10,
  11. "working directory": "hdfs://smartlogic/tmp/distributed2/",
  12. "debug directory": "/home/yakir/run3/slides",
  13. "log4j properties location": "log4j.properties",
  14. "admin email address": ["yakir.mat@gmail.com", "deddybl@gmail.com"],
  15. "components to run": ["DOWNTIME_DETECTION", "PREDICTION"],
  16. "num of slides to run": 2147483647,
  17. "force remove debug directory": false,
  18. "use static lines filtering": true,
  19. "extract data without computing": false,
  20. "enable emergency plan": false,
  21. "source": "IMDB"
  22. },
  23. "batchSettings": {
  24. "Number of models": 1,
  25. "shift": 1.1,
  26. "Use too much anomalies filtering": true,
  27. "Filtering percentage": 10.0,
  28. "percent of most anomalous values": 1.0,
  29. "Max depth": 100,
  30. "Default calibration threshold": 75.0,
  31. "use old style": true
  32. },
  33. "onlineSettings": {
  34. "number of models": 4,
  35. "window size": 1000,
  36. "number of centroids": 2,
  37. "default radius": 3.0
  38. },
  39. "driftSettings": {
  40. "number of models": 1,
  41. "windowSlidingSamplesNum": 100
  42. },
  43. "rapidminerSettings": {
  44. "number of models": 5,
  45. "default calibration threshold": 0.0,
  46. "nClusters": 14,
  47. "k": 14,
  48. "beta": 0.0,
  49. "lambda": 1.5
  50. },
  51. "netflixSettings": {
  52. "nModels": 1,
  53. "defaultCalibrationThreshold": -1.0
  54. },
  55. "yahooSettings": {
  56. "nModels": 5,
  57. "modelsToRun": [],
  58. "defaultCalibrationThreshold": -1.0
  59. },
  60. "correlation": {
  61. "correlation app path": "/home/a.out",
  62. "window size": {
  63. "duration": 10,
  64. "units": "DAYS"
  65. }
  66. },
  67. "prediction": {
  68. "window size": {
  69. "duration": 10,
  70. "units": "DAYS"
  71. },
  72. "overlapped window step": {
  73. "duration": 60,
  74. "units": "HOURS"
  75. },
  76. "burned anomalies factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64],
  77. "email addresses to alarm": ["yakir.mat@gmail.com", "deddybl@gmail.com"],
  78. "base algorithm": "YAHOO",
  79. "number of models": 1,
  80. "labeled faults": {
  81. "G2\\OEC21": [
  82. "2016-01-01"
  83. ],
  84. "G3\\OEC21": [
  85. "2016-01-01"
  86. ]
  87. },
  88. "labeled suspected": {},
  89. "number of most anomalous tags to send": 5,
  90. "rule": {
  91. "sequential drift size": 5,
  92. "factor": 8.0,
  93. "aggregation type": "MOVING_AVERAGE",
  94. "drift search type": "HIGH_FREQ",
  95. "time range": {
  96. "duration": 3,
  97. "units": "HOURS"
  98. },
  99. "moving average window size": 10
  100. },
  101. "high freq detector": {
  102. "svm": {
  103. "c Value": 1.0,
  104. "kernel type": 2,
  105. "gamma": 0.01,
  106. "dimension": 3,
  107. "mfcc features": 7
  108. },
  109. "models directory": "hdfs://smartlogic/tmp/yakir/Models/",
  110. "model file name": "highFreqSvm.model",
  111. "history length": {
  112. "duration": 1,
  113. "units": "DAYS"
  114. },
  115. "use hdfs": true
  116. }
  117. },
  118. "downtime detection": {
  119. "window size": {
  120. "duration": 10,
  121. "units": "DAYS"
  122. },
  123. "overlapped window step": {
  124. "duration": 60,
  125. "units": "HOURS"
  126. },
  127. "burned anomalies factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64],
  128. "email addresses to alarm": ["yakir.mat@gmail.com", "deddybl@gmail.com"],
  129. "base algorithm": "YAHOO",
  130. "number of models": 1,
  131. "labeled faults": {},
  132. "labeled suspected": {},
  133. "number of most anomalous tags to send": 5,
  134. "rule": {
  135. "sequential drift size": 6,
  136. "factor": 8.0,
  137. "aggregation type": "MOVING_AVERAGE",
  138. "drift search type": "MULTI_MODEL",
  139. "time range": {
  140. "duration": 3,
  141. "units": "HOURS"
  142. },
  143. "moving average window size": 10
  144. },
  145. "multi model detector": {
  146. "svm": {
  147. "c Value": 1.0,
  148. "kernel type": 2,
  149. "gamma": 0.01,
  150. "dimension": 3,
  151. "mfcc features": 7
  152. },
  153. "random forest": {
  154. "tree number": 100,
  155. "attribute number": 0,
  156. "depth": 0,
  157. "mfcc features": 7
  158. },
  159. "count threshold": 30,
  160. "score threshold": 20000,
  161. "mvm threshold": 100,
  162. "count or threshold": 40,
  163. "score or threshold": 100000,
  164. "mvm or threshold": 1000,
  165. "history length": {
  166. "duration": 3,
  167. "units": "DAYS"
  168. },
  169. "svm majority threshold": 2.0,
  170. "random forest majority threshold": 2.0,
  171. "total majority threshold": 1.0,
  172. "majority coefficients": [
  173. 0,
  174. 0,
  175. 0,
  176. 2,
  177. 0
  178. ],
  179. "or coefficients": [
  180. 0,
  181. 0,
  182. 0
  183. ],
  184. "models directory": "hdfs://smartlogic/tmp/yakir/Models/",
  185. "svm file prefix": "svm",
  186. "random forest file prefix": "randomForest",
  187. "use hdfs": true
  188. }
  189. },
  190. "sliding window": {
  191. "date of start": "2015-02-02",
  192. "date of stop": "2016-07-01",
  193. "window size": {
  194. "duration": 10,
  195. "units": "DAYS"
  196. },
  197. "step size": {
  198. "duration": 60,
  199. "units": "HOURS"
  200. },
  201. "overlapped window step": {
  202. "duration": 60,
  203. "units": "HOURS"
  204. },
  205. "calibration interval": {
  206. "duration": 60,
  207. "units": "DAYS"
  208. },
  209. "normalization sample rate": {
  210. "duration": 5000,
  211. "units": "MILLISECONDS"
  212. },
  213. "anomalies counter interval": {
  214. "duration": 5,
  215. "units": "MINUTES"
  216. },
  217. //"take pause after slide": false,
  218. "sampling": "ARBITRARY",
  219. "window step debug": false,
  220. "machines": [],
  221. "tags": []
  222. },
  223. "calibratorSettings": {
  224. "enable time limit": true,
  225. "max time per iteration": {
  226. "duration": 1,
  227. "units": "SECONDS"
  228. },
  229. "calibration method": "LINEAR_SEARCH",
  230. "max number of iterations": 1,
  231. "burned factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64,0.995,0.99,0.98,0.96,0.92,0.84,0.68,0.36,1.1,1.4,1.6,1.8,0.9,0.6,0.4,0.2],
  232. "calibration centroids": [2],
  233. "calibration window size elements": 0,
  234. "convergence tolerance": 0.3,
  235. "ax": 0.02,
  236. "bx": 0.5,
  237. "cx": 40.0,
  238. "range up": 1.5,
  239. "range down": 0.5,
  240. "local threshold adjusting": true
  241. },
  242. "elasticsearchSettings": {
  243. "hosts": "10.10.0.31",
  244. "port": 9300,
  245. "cluster name": "SmartLogick",
  246. "scroll size": 1000,
  247. "tag scroll size": 100000,
  248. "scroll time limit": 60000,
  249. "index prefix": "steamboat",
  250. "site": "steamboat",
  251. "tag index name": "steamboat-taginfo"
  252. },
  253. "imdbSettings": {
  254. "protocol": "http",
  255. "host": "10.10.0.62",
  256. "port": 8080,
  257. "customer": "ormat",
  258. "site": "steamboat15scores"
  259. },
  260. /*"imdbSettings": {
  261. "protocol": "http",
  262. "host": "10.10.0.62",
  263. "port": 8080,
  264. "customer": "ormat",
  265. "site": "steamboat15_yakir"
  266. },*/
  267. "debugSettings": {
  268. "tags to debug": [],
  269. "number of tags to debug": 0,
  270. "number of slides to debug": 0,
  271. "first slide idx to debug": 0,
  272. "distance between slides to debug": 0,
  273. "number of tags for batch forecast reports": 0,
  274. "send emails": false,
  275. "send prediction emails": false,
  276. "trace prediction by email": false,
  277. "sender email host": "smtp.office365.com",
  278. "sender email login": "alert@presenso.com",
  279. "sender email pwd": "qazWSX321",
  280. "sender email port": "587"
  281. },
  282. "openTSDBSettings": {
  283. "address": "http://40.121.150.209:4242",
  284. "metric retrieval": "retrieval_time_sec",
  285. "metric execution": "mapreduce_execution_time_sec",
  286. "metric storing": "storing_time_sec",
  287. "metric normalization": "normalization_time_sec",
  288. "metric erasing": "erasing_old_data_time_sec",
  289. "metric anomalies": "anomalies_per_slide",
  290. "metric counter": "counters_per_slide",
  291. "metric window step hours": "window_step_hours",
  292. "tags": {"cluster":"smartlogic"}}
  293. },
  294. "downtimeSettings": {
  295. "families": [
  296. "BATCH_OUTLIER_DETECTION",
  297. "ONLINE_OUTLIER_DETECTION",
  298. "RAPIDMINER",
  299. "YAHOO"
  300. ],
  301. "windows": [
  302. {
  303. "size": {
  304. "duration": 10,
  305. "units": "DAYS"
  306. },
  307. "step": {
  308. "duration": 60,
  309. "units": "HOURS"
  310. },
  311. "number of slides": 35
  312. }
  313. ],
  314. "sequence sizes": [
  315. 2,
  316. 3,
  317. 4
  318. ],
  319. "factors": [
  320. 8.0,
  321. 9.0
  322. ],
  323. "search types": [
  324. "DEFAULT",
  325. "INCREASING",
  326. "COUNT_PER_TIME_RANGE"
  327. ],
  328. "aggregation types": [
  329. "SUM",
  330. "MOVING_AVERAGE"
  331. ],
  332. "time range window": [
  333. {
  334. "duration": 1,
  335. "units": "HOURS"
  336. }
  337. ],
  338. "heuristic slopes": [
  339. 1.5,
  340. 2.0,
  341. 2.5,
  342. 3.5
  343. ],
  344. "heuristic windows": [
  345. {
  346. "duration": 6,
  347. "units": "HOURS"
  348. },
  349. {
  350. "duration": 8,
  351. "units": "HOURS"
  352. },
  353. {
  354. "duration": 10,
  355. "units": "HOURS"
  356. },
  357. {
  358. "duration": 12,
  359. "units": "HOURS"
  360. }
  361. ],
  362. "heuristic time to failures": [
  363. {
  364. "duration": 10,
  365. "units": "HOURS"
  366. },
  367. {
  368. "duration": 36,
  369. "units": "HOURS"
  370. }
  371. ],
  372. "heuristic rolling processing": [
  373. "HIGHEST",
  374. "FACTOR"
  375. ]
  376. },
  377. "thresholds": {
  378. "thresholds batch": {
  379. "winners": [],
  380. "statistics": []
  381. },
  382. "thresholds online": {
  383. "winners": [],
  384. "statistics": []
  385. },
  386. "thresholds rapidminer": {
  387. "winners": [],
  388. "statistics": []
  389. },
  390. "thresholds netflix": {
  391. "winners": [],
  392. "statistics": []
  393. },
  394. "thresholds yahoo": {
  395. "winners": [],
  396. "statistics": []
  397. }
  398. },
  399. "heuristic": {
  400. "top": {
  401. "duration": 1,
  402. "units": "DAYS"
  403. },
  404. "middle": {
  405. "duration": 1,
  406. "units": "DAYS"
  407. },
  408. "bottom": {
  409. "duration": 1,
  410. "units": "DAYS"
  411. },
  412. "max time to failure": {
  413. "duration": 5,
  414. "units": "HOURS"
  415. },
  416. "use rolling downtime detection": true,
  417. "send emails": false,
  418. "k12": 1.5,
  419. "k23": 1.5,
  420. "rolling processing": "HIGHEST"
  421. },
  422. "emergency": {
  423. "max time left to operational switch": {
  424. "duration": 2,
  425. "units": "DAYS"
  426. },
  427. "development window step": {
  428. "duration": 60,
  429. "units": "HOURS"
  430. },
  431. "operational window step": {
  432. "duration": 1,
  433. "units": "HOURS"
  434. },
  435. "switching near-operational factor": 2.0
  436. },
  437. "multivariate model": {
  438. "training path": "python mvm.py train",
  439. "testing path": "python mvm.py test",
  440. "path for models": "~",
  441. "model file name prefix": "",
  442. "model meta data file name prefix": "",
  443. "interval": {
  444. "duration": 10,
  445. "units": "MINUTES"
  446. },
  447. "training window size": {
  448. "duration": 60,
  449. "units": "DAYS"
  450. },
  451. "testing window size": {
  452. "duration": 1,
  453. "units": "DAYS"
  454. }
  455. }
  456. }
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