2b:null 2c:["$","title",null,{"children":"Machine noise prediction | Ernesto Laval | Observable"}] 31:[] 2f:{"id":"f14b71ada79fd75c","slug":"machine-noise-prediction","title":"Machine noise prediction","thumbnail":"5c7d2ff46b00a441c74a907e4a891fd0319673852533b6a789659d1988a592d5","access_level":"public","create_time":"$D2018-11-11T03:32:26.658Z","update_time":"$D2018-12-14T18:56:51.655Z","view_time":null,"first_public_time":"$D2018-11-13T21:11:38.717Z","fork":{"id":"ce694483847166a4","slug":"machine-noise-training","title":"Machine noise training","owner":{"id":"0843f5dc42ca68a0","login":"elaval","name":"Ernesto Laval"}},"stars":0,"starred":false,"owner":{"type":"team","id":"0843f5dc42ca68a0","login":"elaval","name":"Ernesto Laval","avatar_url":"https://avatars-next.observableusercontent.com/089f0414fc9025dadb05cc06d7a406bc9be10093187c46729cb4ba3a4098dc30","tier":"starter_2024"},"version":275,"publish_version":275,"role":null,"authored":false,"authors":[{"type":"individual","id":"e04cd7b5f4351ae9","login":"elaval","name":"Ernesto Laval","avatar_url":"https://avatars-next.observableusercontent.com/089f0414fc9025dadb05cc06d7a406bc9be10093187c46729cb4ba3a4098dc30","tier":null}],"members":[{"type":"individual","id":"e04cd7b5f4351ae9","login":"elaval","name":"Ernesto Laval","avatar_url":"https://avatars-next.observableusercontent.com/089f0414fc9025dadb05cc06d7a406bc9be10093187c46729cb4ba3a4098dc30","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"Machine noise prediction","cells":[{"id":0,"value":"md`# Machine noise prediction`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":247,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":270,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":251,"value":"md`Datos del registro de audio fueron procesados por una red neuonal entrenada con datos de otro registro, y se obtuvieron los siguintes resultados`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":111,"value":"results = {\n const predIndexes = _.map(prediction.argMax(1).dataSync(),d => d);\n \n const predData = _.map(predIndexes, (d,i) => ({\"sec\": i*0.96, \"class\":d, i:i}))\n \n const format = d3.format(\".1f\")\n\n \n const segments= buildSegments(predData);\n \n //return predData[309]\n return html`\n \n \n \n \n \n \n ${segments.map((d,i) =>\n `\n \n \n \n `)}\n

From	To	Type
${formatSeconds(d.from)}	${formatSeconds(d.to)}	${labelDict[d.state]}

\n `\n \n \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":11,"value":"labelDict = [\n \"normal\",\n \"descarga\",\n \"cierre válvula\"\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":78,"value":"prediction = loadedModel.predict(tf.tensor(testData))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":183,"value":"buildSegments = (data) => {\n debugger;\n const segments = [];\n \n let startSec = data[0].sec;\n let currentSec = data[0].sec;\n let currentClass = data[0].class;\n \n data.forEach(d => {\n const thisClass = d.class;\n if (thisClass !== currentClass) {\n segments.push({\n from: startSec,\n to: currentSec,\n state: currentClass\n })\n startSec = d.sec;\n currentSec = d.sec;\n currentClass = d.class;\n }\n currentSec = d.sec;\n })\n segments.push({\n from: startSec,\n to: currentSec,\n state: currentClass\n })\n \n return segments\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":95,"value":"loadedModel = tf.loadModel('https://raw.githubusercontent.com/elaval/datasets/master/model-noise/model_noise.json')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"testData= _.slice(testDataStr.split(\"\\n\").map(d => d.split(\"\\t\")),0,310)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"testDataStr = d3.text(\"https://raw.githubusercontent.com/elaval/datasets/master/test.tsv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":253,"value":"formatSeconds = (d) => {\n return moment.utc(d*1000).format('mm:ss.S')\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":254,"value":"moment = require(\"moment\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"tf = require('@tensorflow/tfjs@0.13.0')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"d3 = require(\"d3\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"_ = require(\"lodash\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W31","stdlib":"1","titling":"auto"}} 30:"$2f:body"