mirror of
https://github.com/wassname/optuna-dashboard.git
synced 2026-09-24 13:41:07 +08:00
Refactor Parallel Coordinate
This commit is contained in:
@@ -1,5 +1,5 @@
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import * as plotly from "plotly.js-dist-min"
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import React, { FC, useEffect, useState } from "react"
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import React, { FC, useEffect, useMemo } from "react"
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import {
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Grid,
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FormControl,
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@@ -12,6 +12,11 @@ import {
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Box,
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} from "@mui/material"
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import { plotlyDarkTemplate } from "./PlotlyDarkMode"
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import {
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Target,
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useFilteredTrials,
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useObjectiveAndSystemAttrTargets,
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} from "../trialFilter"
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const plotDomId = "graph-parallel-coordinate"
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@@ -19,18 +24,29 @@ export const GraphParallelCoordinate: FC<{
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study: StudyDetail | null
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}> = ({ study = null }) => {
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const theme = useTheme()
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const [objectiveId, setObjectiveId] = useState<number>(0)
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const objectiveNames: string[] = study?.objective_names || []
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const [targets, selected, setTarget] = useObjectiveAndSystemAttrTargets(study)
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const filterTargets = useMemo<Target[]>(
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() => [
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...(study !== null
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? study.intersection_search_space.map(
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(s) => new Target("params", s.name)
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)
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: []),
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...(selected !== null ? [selected] : []),
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],
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[study?.intersection_search_space, selected]
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)
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const trials = useFilteredTrials(study, filterTargets, false, false)
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const handleObjectiveChange = (event: SelectChangeEvent<number>) => {
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setObjectiveId(event.target.value as number)
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const handleObjectiveChange = (event: SelectChangeEvent<string>) => {
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setTarget(event.target.value)
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}
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useEffect(() => {
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if (study !== null) {
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plotCoordinate(study, objectiveId, theme.palette.mode)
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plotCoordinate(study, trials, selected, theme.palette.mode)
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}
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}, [study, objectiveId, theme.palette.mode])
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}, [study, trials, selected, theme.palette.mode])
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return (
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<Grid container direction="row">
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@@ -44,15 +60,16 @@ export const GraphParallelCoordinate: FC<{
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<Typography variant="h6" sx={{ margin: "1em 0", fontWeight: 600 }}>
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Parallel Coordinate
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</Typography>
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{study !== null && study.directions.length !== 1 ? (
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{study !== null && targets.length >= 2 ? (
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<FormControl component="fieldset">
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<FormLabel component="legend">Objective ID:</FormLabel>
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<Select value={objectiveId} onChange={handleObjectiveChange}>
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{study.directions.map((d, i) => (
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<MenuItem value={i} key={i}>
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{objectiveNames.length === study?.directions.length
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? objectiveNames[i]
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: `${i}`}
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<FormLabel component="legend">Objective:</FormLabel>
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<Select
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value={selected.identifier()}
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onChange={handleObjectiveChange}
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>
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{targets.map((t, i) => (
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<MenuItem value={t.identifier()} key={i}>
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{t.toLabel(study.objective_names)}
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</MenuItem>
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))}
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</Select>
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@@ -66,23 +83,10 @@ export const GraphParallelCoordinate: FC<{
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)
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}
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const filterFunc = (trial: Trial, objectiveId: number): boolean => {
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if (trial.state !== "Complete" && trial.state !== "Pruned") {
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return false
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}
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if (trial.values === undefined) {
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return false
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}
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return (
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trial.values.length > objectiveId &&
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trial.values[objectiveId] !== "inf" &&
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trial.values[objectiveId] !== "-inf"
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)
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}
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const plotCoordinate = (
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study: StudyDetail,
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objectiveId: number,
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trials: Trial[],
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target: Target | null,
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mode: string
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) => {
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if (document.getElementById(plotDomId) === null) {
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@@ -98,14 +102,11 @@ const plotCoordinate = (
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},
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template: mode === "dark" ? plotlyDarkTemplate : {},
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}
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if (study.trials.length === 0) {
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if (trials.length === 0 || target === null) {
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plotly.react(plotDomId, [], layout)
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return
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}
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const filteredTrials = study.trials.filter((t) => filterFunc(t, objectiveId))
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const maxLabelLength = 40
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const breakLength = maxLabelLength / 2
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const ellipsis = "…"
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@@ -125,25 +126,25 @@ const plotCoordinate = (
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}
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// Intersection param names
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const objectiveValues: number[] = filteredTrials.map(
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(t) => t.values![objectiveId] as number
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const objectiveValues: number[] = trials.map(
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(t) => target.getTargetValue(t) as number
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)
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const dimensions = [
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{
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label: "Objective value",
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label: target.toLabel(study.objective_names),
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values: objectiveValues,
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range: [Math.min(...objectiveValues), Math.max(...objectiveValues)],
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},
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]
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study.intersection_search_space.forEach((s) => {
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const values: number[] = filteredTrials.map(
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const values: number[] = trials.map(
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(t) => t.params.find((p) => p.name === s.name)!.param_internal_value
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)
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if (s.distribution.type !== "CategoricalDistribution") {
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dimensions.push({
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label: breakLabelIfTooLong(s.name),
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values: values,
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range: [Math.min(...values), Math.max(...values)],
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range: [s.distribution.low, s.distribution.high],
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})
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} else {
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// categorical
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@@ -152,13 +153,18 @@ const plotCoordinate = (
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dimensions.push({
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label: breakLabelIfTooLong(s.name),
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values: values,
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range: [Math.min(...values), Math.max(...values)],
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range: [0, s.distribution.choices.length - 1],
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// @ts-ignore
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tickvals: tickvals,
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ticktext: vocabArr,
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})
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}
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})
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const objectiveId = target.getObjectiveId()
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const reversescale =
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objectiveId !== null && study.directions.length > objectiveId
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? study.directions[objectiveId] === "maximize"
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: "minimize"
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const plotData: Partial<plotly.PlotData>[] = [
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{
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type: "parcoords",
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@@ -170,10 +176,10 @@ const plotCoordinate = (
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// @ts-ignore
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colorscale: "Blues",
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colorbar: {
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title: "Objective value",
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title: target.toLabel(study.objective_names),
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},
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showscale: true,
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reversescale: study.directions[objectiveId] === "maximize",
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reversescale: reversescale,
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},
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},
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]
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@@ -160,7 +160,10 @@ const plotSlice = (
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},
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xaxis: {
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title: selectedParamTarget?.toLabel() || "",
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type: selectedParamSpace !== null && isLogScale(selectedParamSpace) ? "log" : "linear",
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type:
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selectedParamSpace !== null && isLogScale(selectedParamSpace)
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? "log"
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: "linear",
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gridwidth: 1,
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automargin: true,
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},
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@@ -173,7 +176,11 @@ const plotSlice = (
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showlegend: false,
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template: mode === "dark" ? plotlyDarkTemplate : {},
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}
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if (selectedParamSpace === null || selectedParamTarget === null || trials.length === 0) {
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if (
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selectedParamSpace === null ||
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selectedParamTarget === null ||
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trials.length === 0
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) {
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plotly.react(plotDomId, [], layout)
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return
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}
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@@ -181,7 +188,9 @@ const plotSlice = (
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const objectiveValues: number[] = trials.map(
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(t) => objectiveTarget.getTargetValue(t) as number
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)
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const values = trials.map((t) => selectedParamTarget.getTargetValue(t) as number)
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const values = trials.map(
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(t) => selectedParamTarget.getTargetValue(t) as number
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)
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const trialNumbers: number[] = trials.map((t) => t.number)
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if (selectedParamSpace.distribution.type !== "CategoricalDistribution") {
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