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<template>
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<div id="OverviewPredPlotly" class="OverviewPredPlotly"></div>
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</template>
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<script>
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import * as Plotly from 'plotly.js'
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import { EventBus } from '../main.js'
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export default {
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name: 'PredictionsSpace',
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data () {
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return {
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PredictionsData: '',
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UpdatedData: '',
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WH: []
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}
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},
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methods: {
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ScatterPlotDataView () {
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var target_names = JSON.parse(this.PredictionsData[4])
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const XandYCoordinates = JSON.parse(this.PredictionsData[8])
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const DataSet = JSON.parse(this.PredictionsData[14])
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const DataSetY = JSON.parse(this.PredictionsData[15])
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var DataSetParse = JSON.parse(DataSet)
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var result = XandYCoordinates.reduce(function(r, a) {
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a.forEach(function(s, i) {
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var key = i === 0 ? 'Xax' : 'Yax';
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r[key] || (r[key] = []); // if key not found on result object, add the key with empty array as the value
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r[key].push(s);
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})
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return r;
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}, {})
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var dataPointInfo = []
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for (let i = 0; i < XandYCoordinates.length; i++) {
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dataPointInfo[i] = 'Data Point ID: ' + i + '; Details: ' + JSON.stringify(DataSetParse[i])
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}
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var colors = ['#a6cee3','#1f78b4','#b2df8a','#33a02c','#fb9a99','#e31a1c','#fdbf6f','#ff7f00','#cab2d6','#6a3d9a']
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var traces = []
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var countPrev = 0
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var count = 0
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for (let i = 0; i < target_names.length; i++) {
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count = 0
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for (let j = 0; j < DataSetY.length; j++) {
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if (i == DataSetY[j]) {
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count = count + 1
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}
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}
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traces.push({
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x: result.Xax.slice(countPrev,count+countPrev),
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y: result.Yax.slice(countPrev,count+countPrev),
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mode: 'markers',
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name: target_names[i],
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marker: {
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color: colors[i]
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},
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hovertemplate:
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"<b>%{text}</b><br><br>" +
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"<extra></extra>",
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text: dataPointInfo.slice(countPrev,count+countPrev),
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})
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countPrev = count + countPrev
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}
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var width = this.WH[0]*3 // interactive visualization
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var height = this.WH[1]*1.48 // interactive visualization
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const layout = {
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title: 'Predictions Space Projection (t-SNE)',
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xaxis: {
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visible: false
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},
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yaxis: {
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visible: false
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},
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dragmode: 'lasso',
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hovermode: "closest",
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autosize: true,
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width: width,
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height: height,
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}
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var config = {scrollZoom: true, displaylogo: false, showLink: false, showSendToCloud: false, modeBarButtonsToRemove: ['toImage', 'toggleSpikelines', 'autoScale2d', 'hoverClosestGl2d','hoverCompareCartesian','select2d','hoverClosestCartesian','zoomIn2d','zoomOut2d','zoom2d'], responsive: true}
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Plotly.newPlot('OverviewPredPlotly', traces, layout, config)
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this.selectedPointsOverview()
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},
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UpdateScatterPlot () {
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const XandYCoordinates = JSON.parse(this.UpdatedData[0])
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Plotly.animate('OverviewPredPlotly', {
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data: [
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{x: XandYCoordinates[0], y: XandYCoordinates[1]}
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],
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traces: [0],
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layout: {}
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}, {
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transition: {
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duration: 1000,
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easing: 'cubic-in-out'
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},
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frame: {
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duration: 1000
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}
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})
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this.selectedPointsOverview()
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},
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selectedPointsOverview () {
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const OverviewPlotly = document.getElementById('OverviewPredPlotly')
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OverviewPlotly.on('plotly_selected', function (evt) {
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if (typeof evt !== 'undefined') {
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const DataPoints = []
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for (let i = 0; evt.points.length; i++) {
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if (evt.points[i] === undefined) {
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break
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} else {
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const OnlyId = evt.points[i].text.split(' ')
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DataPoints.push(OnlyId[3])
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}
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}
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if (DataPoints != '') {
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EventBus.$emit('SendSelectedDataPointsToServerEvent', DataPoints)
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} else {
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EventBus.$emit('SendSelectedDataPointsToServerEvent', '')
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}
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}
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})
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},
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},
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mounted() {
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EventBus.$on('updatePredictionsSpace', data => { this.UpdatedData = data })
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EventBus.$on('updatePredictionsSpace', this.UpdateScatterPlot)
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EventBus.$on('emittedEventCallingPredictionsSpacePlotView', data => {
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this.PredictionsData = data})
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EventBus.$on('emittedEventCallingPredictionsSpacePlotView', this.ScatterPlotDataView)
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EventBus.$on('Responsive', data => {
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this.WH = data})
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EventBus.$on('ResponsiveandChange', data => {
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this.WH = data})
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}
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}
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</script>
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