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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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colorsValues: ['#6a3d9a','#b15928','#e31a1c'],
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responsiveWidthHeight: []
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}
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},
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methods: {
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reset () {
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Plotly.purge('OverviewPredPlotly')
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},
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ScatterPlotDataView () {
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Plotly.purge('OverviewPredPlotly')
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// responsive visualization
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var width = this.responsiveWidthHeight[0]*3
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var height = this.responsiveWidthHeight[1]*1.48
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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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const originalDataLabels = JSON.parse(this.PredictionsData[16])
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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 IDs = [];
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for (let i = 0; i < result.Xax.length; i++) {
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IDs.push(i)
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}
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result.ID = IDs
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var traces = []
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for (let i = 0; i < target_names.length; i++) {
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const aux_X = result.Xax.filter((item, index) => originalDataLabels[index] == target_names[i]);
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const aux_Y = result.Yax.filter((item, index) => originalDataLabels[index] == target_names[i]);
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const aux_ID = result.ID.filter((item, index) => originalDataLabels[index] == target_names[i]);
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var Text = aux_ID.map((item, index) => {
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let popup = 'Data Point ID: ' + item + '; Details: ' + JSON.stringify(DataSetParse[item])
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return popup;
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});
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traces.push({
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x: aux_X,
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y: aux_Y,
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mode: 'markers',
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name: target_names[i],
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marker: { color: this.colorsValues[i], line: { color: 'rgb(0, 0, 0)', width: 2 }, opacity: 1, size: 12 },
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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: Text,
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})
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}
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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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// reset the views
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EventBus.$on('resetViews', this.reset)
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}
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}
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</script>
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