import React from "react"; import { AccessibleChart, ChartBuilder, IPlotlyProperty, PlotlyMode, SelectionContext } from "mlchartlib"; import { IFairnessContext } from "../IFairnessContext"; import _ from "lodash"; import { MetricsCache } from "../MetricsCache"; import { IAccuracyPickerProps, IParityPickerProps, IFeatureBinPickerProps } from "../FairnessWizard"; import { ParityModes } from "../ParityMetrics"; import { Stack, StackItem } from "office-ui-fabric-react/lib/Stack"; import { ChoiceGroup, IChoiceGroupOption } from 'office-ui-fabric-react/lib/ChoiceGroup'; import { localization } from "../Localization/localization"; import { Spinner, SpinnerSize } from "office-ui-fabric-react/lib/Spinner"; import { mergeStyleSets } from "@uifabric/styling"; import { ActionButton } from "office-ui-fabric-react/lib/Button"; import { AccuracyOptions } from "../AccuracyMetrics"; import { FormatMetrics } from "../FormatMetrics"; import { PredictionTypes } from "../IFairnessProps"; export interface IModelComparisonProps { dashboardContext: IFairnessContext; selections: SelectionContext; metricsCache: MetricsCache; modelCount: number; accuracyPickerProps: IAccuracyPickerProps; parityPickerProps: IParityPickerProps; featureBinPickerProps: IFeatureBinPickerProps; onEditConfigs: () => void; } export interface IState { accuracyArray?: number[]; disparityArray?: number[]; disparityInOutcomes: boolean; } export class ModelComparisonChart extends React.PureComponent { private readonly plotlyProps: IPlotlyProperty = { config: { displaylogo: false, responsive: true, modeBarButtonsToRemove: ['toggleSpikelines', 'hoverClosestCartesian', 'hoverCompareCartesian', 'zoom2d', 'pan2d', 'select2d', 'lasso2d', 'zoomIn2d', 'zoomOut2d', 'autoScale2d', 'resetScale2d'] }, data: [ { datapointLevelAccessors: { customdata: { path: ['index'], plotlyPath: 'customdata' } }, mode: PlotlyMode.markers, marker: { size: 14 }, type: 'scatter', xAccessor: 'Accuracy', yAccessor: 'Parity', hoverinfo: 'text' } ], layout: { autosize: true, font: { size: 10 }, margin: { t: 4, r:0 }, hovermode: 'closest', xaxis: { automargin: true, fixedrange: true, mirror: true, linecolor: '#CCCCCC', linewidth: 1, title:{ text: 'Error' } }, yaxis: { automargin: true, fixedrange: true, title:{ text: 'Disparity' } }, } as any }; private static readonly classNames = mergeStyleSets({ frame: { flex: 1, display: "flex", flexDirection: "column" }, spinner: { margin: "auto", padding: "40px" }, header: { backgroundColor: "#EBEBEB", padding: "0 90px", height: "90px", display: "inline-flex", flexDirection: "row", justifyContent: "space-between", alignItems: "center" }, headerTitle: { color: "#333333", fontSize: "32px", lineHeight: "39px", fontWeight: "100" }, editButton: { color: "#333333", fontSize: "12px", lineHeight: "20px", fontWeight: "400" }, main: { height: "100%", flex: 1, display: "inline-flex", flexDirection: "row" }, mainRight: { padding: "30px 0 0 35px", width: "300px" }, rightTitle: { color: "#333333", fontSize: "15px", lineHeight: "16px", fontWeight: "500", paddingBottom: "18px", borderBottom: "1px solid #CCCCCC" }, rightText: { padding: "16px 15px 30px 0", color: "#333333", fontSize: "15px", lineHeight: "18px", fontWeight: "400", borderBottom: "0.5px dashed #CCCCCC" }, insights: { textTransform: "uppercase", color: "#333333", fontSize: "15px", lineHeight: "16px", fontWeight: "500", padding: "18px 0", }, insightsText: { color: "#333333", fontSize: "15px", lineHeight: "16px", fontWeight: "400", paddingBottom: "18px", paddingRight: "15px", borderBottom: "1px solid #CCCCCC" }, chart: { padding: "60px 0 0 0", flex: 1 }, textSection: { paddingBottom: "5px" }, radio: { paddingBottom: "30px", paddingLeft: "75px" } }); constructor(props: IModelComparisonProps) { super(props); this.state = { disparityInOutcomes: true }; } public render(): React.ReactNode { if (!this.state || this.state.accuracyArray === undefined || this.state.disparityArray === undefined) { this.loadData(); return ( ); } const data = this.state.accuracyArray.map((accuracy, index) => { return { Parity: this.state.disparityArray[index], Accuracy: accuracy, index: index }; }); let minAccuracy: number = Number.MAX_SAFE_INTEGER; let maxAccuracy: number = Number.MIN_SAFE_INTEGER; let maxDisparity: number = Number.MIN_SAFE_INTEGER; let minDisparity: number = Number.MAX_SAFE_INTEGER; let minAccuracyIndex: number; let maxAccuracyIndex: number; let minDisparityIndex: number; let maxDisparityIndex: number; this.state.accuracyArray.forEach((value, index) => { if (value >= maxAccuracy) { maxAccuracyIndex = index; maxAccuracy = value; } if (value <= minAccuracy) { minAccuracyIndex = index; minAccuracy = value; } }); this.state.disparityArray.forEach((value, index) => { if (value >= maxDisparity) { maxDisparityIndex = index; maxDisparity = value; } if (value <= minDisparity) { minDisparityIndex = index; minDisparity = value; } }); const formattedMinAccuracy = FormatMetrics.formatNumbers(minAccuracy, this.props.accuracyPickerProps.selectedAccuracyKey); const formattedMaxAccuracy = FormatMetrics.formatNumbers(maxAccuracy, this.props.accuracyPickerProps.selectedAccuracyKey); const formattedMinDisparity = FormatMetrics.formatNumbers(minDisparity, this.props.accuracyPickerProps.selectedAccuracyKey); const formattedMaxDisparity = FormatMetrics.formatNumbers(maxDisparity, this.props.accuracyPickerProps.selectedAccuracyKey); const selectedMetric = AccuracyOptions[this.props.accuracyPickerProps.selectedAccuracyKey]; const insights2 = localization.formatString( localization.ModelComparison.insightsText2, selectedMetric.title, formattedMinAccuracy, formattedMaxAccuracy, formattedMinDisparity, formattedMaxDisparity ); const insights3 = localization.formatString( localization.ModelComparison.insightsText3, selectedMetric.title.toLowerCase(), selectedMetric.isMinimization ? formattedMinAccuracy : formattedMaxAccuracy, FormatMetrics.formatNumbers(this.state.disparityArray[selectedMetric.isMinimization ? minAccuracyIndex : maxAccuracyIndex], this.props.accuracyPickerProps.selectedAccuracyKey) ); const insights4 = localization.formatString( localization.ModelComparison.insightsText4, selectedMetric.title.toLowerCase(), FormatMetrics.formatNumbers(this.state.accuracyArray[minDisparityIndex], this.props.accuracyPickerProps.selectedAccuracyKey), formattedMinDisparity ); const howToReadText = localization.formatString( localization.ModelComparison.howToReadText, this.props.modelCount.toString(), selectedMetric.title.toLowerCase(), selectedMetric.isMinimization ? localization.ModelComparison.lower : localization.ModelComparison.higher ); const props = _.cloneDeep(this.plotlyProps); props.data = ChartBuilder.buildPlotlySeries(props.data[0], data).map(series => { series.name = this.props.dashboardContext.modelNames[series.name]; series.text = this.props.dashboardContext.modelNames; return series; }); const accuracyMetricTitle = AccuracyOptions[this.props.accuracyPickerProps.selectedAccuracyKey].title props.layout.xaxis.title = accuracyMetricTitle; props.layout.yaxis.title = this.state.disparityInOutcomes ? localization.ModelComparison.disparityInOutcomes : localization.formatString(localization.ModelComparison.disparityInAccuracy, accuracyMetricTitle.toLowerCase()) as string return (

{localization.ModelComparison.title}

{localization.Report.editConfiguration}
{localization.ModelComparison.howToRead}
{howToReadText}
{localization.ModelComparison.insights}
{insights2}
{insights3}
{insights4}
); } private async loadData(): Promise { try { const accuracyPromises = new Array(this.props.modelCount).fill(0).map((unused, modelIndex) => { return this.props.metricsCache.getMetric( this.props.dashboardContext.binVector, this.props.featureBinPickerProps.selectedBinIndex, modelIndex, this.props.accuracyPickerProps.selectedAccuracyKey); }); const disparityMetric = this.state.disparityInOutcomes ? (this.props.dashboardContext.modelMetadata.predictionType === PredictionTypes.binaryClassification ? "selection_rate" : "average") : this.props.accuracyPickerProps.selectedAccuracyKey; const disparityPromises = new Array(this.props.modelCount).fill(0).map((unused, modelIndex) => { return this.props.metricsCache.getDisparityMetric( this.props.dashboardContext.binVector, this.props.featureBinPickerProps.selectedBinIndex, modelIndex, disparityMetric, ParityModes.difference); }); const accuracyArray = (await Promise.all(accuracyPromises)).map(metric => metric.global); const disparityArray = await Promise.all(disparityPromises); this.setState({accuracyArray, disparityArray}); } catch { // todo; } } private readonly disparityChanged = (ev: React.FormEvent, option: IChoiceGroupOption): void => { const disparityInOutcomes = option.key !== "accuracy"; if (this.state.disparityInOutcomes !== disparityInOutcomes) { this.setState({disparityInOutcomes, disparityArray: undefined}); } } // TODO: Reuse if multiselect re-enters design // private readonly applySelections = (chartId: string, selectionIds: string[], plotlyProps: IPlotlyProperty) => { // if (!plotlyProps.data || plotlyProps.data.length === 0) { // return; // } // const customData: string[] = (plotlyProps.data[0] as any).customdata; // if (!customData) { // return; // } // const colors = customData.map(modelIndex => { // const selectedIndex = this.props.selections.selectedIds.indexOf(modelIndex); // if (selectedIndex !== -1) { // return FabricStyles.plotlyColorPalette[selectedIndex % FabricStyles.plotlyColorPalette.length]; // } // return "#111111"; // }); // const shapes = customData.map(modelIndex => { // const selectedIndex = this.props.selections.selectedIds.indexOf(modelIndex); // if (selectedIndex !== -1) { // return 1 // } // return 0; // }); // Plotly.restyle(chartId, 'marker.color' as any, [colors] as any); // Plotly.restyle(chartId, 'marker.symbol' as any, [shapes] as any); // } }