StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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368 lines
12 KiB
368 lines
12 KiB
<template>
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<div>
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<b-row class="md-3">
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<b-col cols="12">
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<div>Projection Method: <select id="selectBarChartPred" @change="selectVisualRepresentationPred()">
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<option value="mds" selected>MDS</option>
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<option value="tsne">t-SNE</option>
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<option value="umap">UMAP</option>
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</select>
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<div id="OverviewPredPlotly" class="OverviewPredPlotly"></div>
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</div>
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</b-col>
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</b-row>
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</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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representationDef: 'mds',
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representationSelection: 'mds',
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RetrieveDataSet: 'HeartC',
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colorsValues: ['#808000','#008080','#bebada','#fccde5','#d9d9d9','#bc80bd','#ccebc5'],
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WH: [],
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onlyOnce: true,
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}
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},
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methods: {
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selectVisualRepresentationPred () {
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const representationSelectionDocum = document.getElementById('selectBarChartPred')
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this.representationSelection = representationSelectionDocum.options[representationSelectionDocum.selectedIndex].value
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EventBus.$emit('RepresentationSelectionPred', this.representationSelection)
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},
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reset () {
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Plotly.purge('OverviewPredPlotly')
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},
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clean(obj) {
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var propNames = Object.getOwnPropertyNames(obj);
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for (var i = 0; i < propNames.length; i++) {
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var propName = propNames[i];
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if (obj[propName] === null || obj[propName] === undefined) {
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delete obj[propName];
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}
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}
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},
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ScatterPlotPredView () {
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Plotly.purge('OverviewPredPlotly')
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// responsive visualization
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var width = this.WH[0]*6.5 // interactive visualization
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var height = this.WH[1]*1.22 // interactive visualization
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var XandYCoordinatesMDS
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var target_names = JSON.parse(this.PredictionsData[4])
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if (this.UpdatedData.length != 0) {
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XandYCoordinatesMDS = JSON.parse(this.UpdatedData[0])
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} else {
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XandYCoordinatesMDS = JSON.parse(this.PredictionsData[8])
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}
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const DataSet = JSON.parse(this.PredictionsData[14])
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const originalDataLabels = 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 stringParameters = []
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for (let i = 0; i < DataSetParse.length; i++) {
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this.clean(DataSetParse[i])
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stringParameters.push(JSON.stringify(DataSetParse[i]).replace(/,/gi, '<br>'))
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}
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const XandYCoordinatesTSNE = JSON.parse(this.PredictionsData[18])
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const XandYCoordinatesUMAP= JSON.parse(this.PredictionsData[19])
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var result = [];
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var IDs = [];
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var Xaxs = [];
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var Yaxs = [];
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var beautifyLabels = []
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if (this.RetrieveDataSet == 'StanceC') {
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beautifyLabels.push('Absence of Hypotheticality')
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beautifyLabels.push('Presence of Hypotheticality')
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}
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else if (this.RetrieveDataSet == 'HeartC') {
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beautifyLabels.push('< 50% Diameter Narrowing / Healthy')
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beautifyLabels.push('> 50% Diameter Narrowing / Diseased')
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} else {
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target_names.forEach(element => {
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beautifyLabels.push(element)
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});
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}
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if (this.representationDef == 'mds') {
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for (let i = 0; i < XandYCoordinatesMDS[0].length; i++) {
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Xaxs.push(XandYCoordinatesMDS[0][i])
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Yaxs.push(XandYCoordinatesMDS[1][i])
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IDs.push(i)
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}
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result.Xax = Xaxs
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result.Yax = Yaxs
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result.ID = IDs
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var traces = []
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var layout = []
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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 + '<br> Details: ' + stringParameters[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: beautifyLabels[i],
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marker: { color: this.colorsValues[i], line: { color: 'rgb(0, 0, 0)', width: 3 }, 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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layout = {font: { family: 'Helvetica', size: 14, color: '#000000' },
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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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legend: {orientation: 'h', xanchor: 'center', x: 0.5},
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margin: {
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l: 50,
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r: 0,
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b: 30,
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t: 40,
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pad: 0
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},
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}
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} else if (this.representationDef == 'tsne') {
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result = XandYCoordinatesTSNE.reduce(function(r, a) {
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var id = 0
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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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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 + '<br> Details: ' + stringParameters[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: beautifyLabels[i],
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marker: { color: this.colorsValues[i], line: { color: 'rgb(0, 0, 0)', width: 3 }, 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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layout = {font: { family: 'Helvetica', size: 14, color: '#000000' },
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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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legend: {orientation: 'h', xanchor: 'center', x: 0.5},
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margin: {
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l: 50,
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r: 0,
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b: 30,
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t: 40,
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pad: 0
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},
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}
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} else {
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for (let i = 0; i < XandYCoordinatesUMAP[0].length; i++) {
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Xaxs.push(XandYCoordinatesUMAP[0][i])
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Yaxs.push(XandYCoordinatesUMAP[1][i])
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IDs.push(i)
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}
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result.Xax = Xaxs
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result.Yax = Yaxs
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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 + '<br> Details: ' + stringParameters[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: beautifyLabels[i],
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marker: { color: this.colorsValues[i], line: { color: 'rgb(0, 0, 0)', width: 3 }, 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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layout = {font: { family: 'Helvetica', size: 14, color: '#000000' },
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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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legend: {orientation: 'h', xanchor: 'center', x: 0.5},
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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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margin: {
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l: 50,
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r: 0,
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b: 30,
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t: 40,
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pad: 0
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},
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}
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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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//if (this.onlyOnce) {
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this.selectedPointsOverview()
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// }
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// this.onlyOnce = false
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},
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// UpdateScatterPlot () {
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// const XandYCoordinates = JSON.parse(this.UpdatedData[0])
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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 + '<br> Details: ' + stringParameters[item]
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// return popup;
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// });
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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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console.log(evt)
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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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console.log(DataPoints)
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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('onlyOnce', data => { this.onlyOnce = data })
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EventBus.$on('updatePredictionsSpace', data => { this.UpdatedData = data })
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EventBus.$on('updatePredictionsSpace', this.ScatterPlotPredView)
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EventBus.$on('emittedEventCallingPredictionsSpacePlotView', data => {
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this.PredictionsData = data})
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EventBus.$on('emittedEventCallingPredictionsSpacePlotView', this.ScatterPlotPredView)
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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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EventBus.$on('RepresentationSelectionPred', data => {this.representationDef = data})
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EventBus.$on('RepresentationSelectionPred', this.ScatterPlotPredView)
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// reset the views
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EventBus.$on('resetViews', this.reset)
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EventBus.$on('SendToServerDataSetConfirmation', data => { this.RetrieveDataSet = data })
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}
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}
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</script> |