15 changed files with 585 additions and 5 deletions
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{ |
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"watch": [ |
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"./src/routes/routes.json" |
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], |
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"exec": "pnpm serve" |
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} |
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{ |
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"name": "io.sc.engine.mv.frontend", |
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"version": "8.1.22", |
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"description": "", |
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"private": false, |
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"keywords": [], |
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"author": "", |
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"license": "ISC", |
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"scripts": { |
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"dev": "nodemon", |
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"serve": "node ./util-components-generator.cjs && cross-env NODE_ENV=development webpack serve --config webpack.env.serve.cjs", |
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"build": "node ./util-components-generator.cjs && cross-env NODE_ENV=development webpack --config webpack.env.build.cjs", |
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"prod": "node ./util-components-generator.cjs && cross-env NODE_ENV=production webpack --config webpack.env.prod.cjs", |
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"sync": "platform sync", |
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"clean": "rm -rf ./node_modules && rm -rf pnpm-lock.yaml" |
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}, |
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"engines": { |
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"node": ">=18", |
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"pnpm": ">=7" |
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}, |
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"publishConfig": { |
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"registry": "http://nexus.sc.io:8000/repository/npm-releases/", |
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"access": "public" |
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}, |
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"devDependencies": { |
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"@babel/core": "7.23.7", |
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"@babel/preset-env": "7.23.7", |
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"@babel/preset-typescript": "7.23.3", |
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"@babel/plugin-transform-class-properties": "7.23.3", |
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"@babel/plugin-transform-object-rest-spread": "7.23.4", |
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"@quasar/app-webpack": "3.12.1", |
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"@quasar/cli": "2.3.0", |
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"@types/mockjs": "1.0.10", |
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"@types/node": "20.10.6", |
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"@typescript-eslint/eslint-plugin": "6.17.0", |
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"@typescript-eslint/parser": "6.17.0", |
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"@vue/compiler-sfc": "3.4.3", |
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"@webpack-cli/serve": "2.0.5", |
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"autoprefixer": "10.4.16", |
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"babel-loader": "9.1.3", |
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"clean-webpack-plugin": "4.0.0", |
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"copy-webpack-plugin": "11.0.0", |
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"cross-env": "7.0.3", |
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"css-loader": "6.8.1", |
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"eslint": "8.56.0", |
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"eslint-config-prettier": "9.1.0", |
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"eslint-plugin-prettier": "5.1.2", |
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"eslint-plugin-vue": "9.19.2", |
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"eslint-webpack-plugin": "4.0.1", |
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"html-webpack-plugin": "5.6.0", |
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"json5": "2.2.3", |
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"mini-css-extract-plugin": "2.7.6", |
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"nodemon": "3.0.2", |
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"postcss": "8.4.32", |
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"postcss-import": "16.0.0", |
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"postcss-loader": "7.3.4", |
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"postcss-preset-env": "9.3.0", |
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"prettier": "3.1.1", |
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"sass": "1.69.7", |
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"sass-loader": "13.3.3", |
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"typescript": "5.3.3", |
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"vue-loader": "17.4.2", |
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"webpack": "5.89.0", |
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"webpack-bundle-analyzer": "4.10.1", |
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"webpack-cli": "5.1.4", |
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"webpack-dev-server": "4.15.1", |
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"webpack-merge": "5.10.0", |
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"@vue/babel-plugin-jsx": "1.1.5" |
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}, |
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"dependencies": { |
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"@quasar/extras": "1.16.9", |
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"@vueuse/core": "10.7.1", |
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"axios": "1.6.3", |
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"dayjs": "1.11.10", |
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"echarts": "5.4.3", |
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"exceljs": "4.4.0", |
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"file-saver": "2.0.5", |
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"luckyexcel": "1.0.1", |
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"mockjs": "1.1.0", |
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"pinia": "2.1.7", |
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"platform-core": "8.1.111", |
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"quasar": "2.14.2", |
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"tailwindcss": "3.4.0", |
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"vue": "3.4.3", |
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"vue-dompurify-html": "5.0.1", |
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"vue-i18n": "9.8.0", |
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"vue-router": "4.2.5", |
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"@codemirror/autocomplete": "6.11.1", |
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"@codemirror/commands": "6.3.3", |
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"@codemirror/lang-html": "6.4.7", |
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"@codemirror/lang-java": "6.0.1", |
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"@codemirror/lang-javascript": "6.2.1", |
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"@codemirror/lang-json": "6.0.1", |
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"@codemirror/lang-sql": "6.5.4", |
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"@codemirror/lang-xml": "6.0.2", |
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"@codemirror/language": "6.10.0", |
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"@codemirror/search": "6.5.5", |
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"@codemirror/state": "6.4.0", |
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"@codemirror/view": "6.23.0", |
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"codemirror": "6.0.1", |
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"vue-codemirror6": "1.2.0" |
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} |
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} |
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{ |
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"menu.engine.mv" : "Model Validator", |
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"menu.engine.mv.config" : "Configuration", |
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"menu.engine.mv.config.cutOffPoint" : "Score Cut Off Point", |
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"menu.engine.mv.config.threshold" : "Threshold", |
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"menu.engine.mv.config.binomial" : "Z of Normal Distribution", |
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"menu.engine.mv.config.chiSquare" : "Const of Chi-square", |
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"menu.engine.mv.config.model" : "Model", |
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"menu.engine.mv.config.distribution" : "Distribution of Modeling", |
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"menu.engine.mv.config.scale" : "Scale", |
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"menu.engine.mv.config.dataExtractor" : "Data Extractor", |
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"menu.engine.mv.config.executor" : "Executor", |
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"menu.engine.mv.sample" : "Sample Manager", |
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"menu.engine.mv.result" : "Validator Result Viewer", |
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|
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"io.sc.engine.mv.config.cutOffPoint.grid.title" : "Score Cut Off Point List", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.name" : "Name", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.from" : "From(contain)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.to" : "To(contain)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.step" : "Step", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.scale" : "Scale", |
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|
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"io.sc.engine.mv.config.threshold.grid.title" : "Threshold Configuration List", |
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"io.sc.engine.mv.config.threshold.grid.entity.name" : "Name", |
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"io.sc.engine.mv.config.threshold.grid.entity.level" : "Level(bigger is better)", |
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"io.sc.engine.mv.config.threshold.grid.entity.color" : "Color", |
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"io.sc.engine.mv.config.threshold.grid.entity.range" : "Range", |
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"io.sc.engine.mv.config.threshold.grid.entity.quantitativeRange" : "Range of Quantitative", |
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"io.sc.engine.mv.config.threshold.grid.entity.qualitativeRange" : "Range of Qualitative", |
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|
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"io.sc.engine.mv.config.binomial.grid.title" : "Z Const of Normal Distribution List", |
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"io.sc.engine.mv.config.binomial.grid.entity.significanceLevel" : "Significance Level", |
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"io.sc.engine.mv.config.binomial.grid.entity.confidenceLevel" : "Confidence Level", |
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"io.sc.engine.mv.config.binomial.grid.entity.zUpper" : "Z Upper", |
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"io.sc.engine.mv.config.binomial.grid.entity.zLower" : "Z Lower", |
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|
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"io.sc.engine.mv.config.chiSquare.grid.title" : "Const of Chi-square List", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.dof" : "DOF", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.significanceLevel" : "Significance Level", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.criticalValue" : "Critical Value", |
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|
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"io.sc.engine.mv.config.model.grid.title" : "Model List", |
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"io.sc.engine.mv.config.model.grid.toolbar.importFromScoreRecordTable" : "Import From Score Record", |
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"io.sc.engine.mv.config.model.grid.entity.type" : "Model Create Type", |
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"io.sc.engine.mv.config.model.grid.entity.modelId" : "Model ID", |
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"io.sc.engine.mv.config.model.grid.entity.modelName" : "Model Name", |
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|
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"io.sc.engine.mv.config.distribution.grid.title" : "Distribution of Modeling List", |
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"io.sc.engine.mv.config.distribution.grid.entity.modelId" : "Model ID", |
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"io.sc.engine.mv.config.distribution.grid.entity.modelName" : "Model Name", |
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"io.sc.engine.mv.config.distribution.grid.entity.scoreSegStart" : "Start of Score Segment(include)", |
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"io.sc.engine.mv.config.distribution.grid.entity.scoreSegEnd" : "End of Score Segment(include)", |
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"io.sc.engine.mv.config.distribution.grid.entity.count" : "Sample Count", |
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|
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|
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"io.sc.engine.mv.config.scale.grid.title" : "Main Scale List", |
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"io.sc.engine.mv.config.scale.grid.entity.modelId" : "Model ID", |
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"io.sc.engine.mv.config.scale.grid.entity.modelName" : "Model Name", |
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"io.sc.engine.mv.config.scale.grid.entity.level" : "Level", |
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"io.sc.engine.mv.config.scale.grid.entity.pd" : "PD", |
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"io.sc.engine.mv.config.scale.grid.entity.order" : "Order", |
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|
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"io.sc.engine.mv.config.executor.grid.title" : "Executor List", |
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|
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"io.sc.engine.mv.result.grid.title" : "Validate Result List", |
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"io.sc.engine.mv.result.grid.entity.validateDate" : "Validate Date", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters" : "Runtime Parameters", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateFrom" : "Rate Start Date From", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateTo" : "Rate Start Date To", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.performPeriod" : "Perform Period", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.binomialSignificanceLevel" : "Binomial Significance Level", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.chiSquareSignificanceLevel" : "Chi-square Significance Level", |
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"io.sc.engine.mv.result.grid.entity.modelId" : "Model ID", |
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"io.sc.engine.mv.result.grid.entity.modelName" : "Model Name", |
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"io.sc.engine.mv.result.grid.entity.executeMode" : "Execute Mode", |
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"io.sc.engine.mv.result.grid.entity.totalSampleCount" : "Total Sample Count", |
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"io.sc.engine.mv.result.grid.entity.defaultSampleCount" : "Default Sample Count", |
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"io.sc.engine.mv.result.grid.entity.discrimination" : "Discrimination", |
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|
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"io.sc.engine.mv.result.grid.entity.discrimination.total" : "Total", |
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"io.sc.engine.mv.result.grid.entity.auc" : "AUC", |
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"io.sc.engine.mv.result.grid.entity.ar" : "AR", |
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"io.sc.engine.mv.result.grid.entity.ks" : "KS", |
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"io.sc.engine.mv.result.grid.entity.svd" : "SVD", |
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"io.sc.engine.mv.result.grid.entity.psi" : "PSI", |
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"io.sc.engine.mv.result.grid.entity.chiSquare" : "Chi-Square", |
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"io.sc.engine.mv.result.grid.entity.binomial" : "Binomial" |
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} |
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{ |
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"menu.engine.mv" : "模型驗證", |
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"menu.engine.mv.config" : "配置", |
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"menu.engine.mv.config.cutOffPoint" : "評分截斷點", |
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"menu.engine.mv.config.threshold" : "預警閾值", |
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"menu.engine.mv.config.binomial" : "二項檢驗Z值常量", |
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"menu.engine.mv.config.chiSquare" : "卡方檢驗臨界值常量", |
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"menu.engine.mv.config.model" : "模型", |
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"menu.engine.mv.config.distribution" : "建模時客戶評分分佈", |
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"menu.engine.mv.config.scale" : "標尺", |
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"menu.engine.mv.config.dataExtractor" : "數據抽取接口", |
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"menu.engine.mv.config.executor" : "執行器", |
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"menu.engine.mv.sample" : "樣本管理", |
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"menu.engine.mv.result" : "驗證結果查看", |
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|
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"io.sc.engine.mv.config.cutOffPoint.grid.title" : "評分截斷點配置列表", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.name" : "名称", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.from" : "起始值(含)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.to" : "结束值(含)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.step" : "增量值", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.scale" : "精度", |
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|
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"io.sc.engine.mv.config.threshold.grid.title" : "預警閾值配置列表", |
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"io.sc.engine.mv.config.threshold.grid.entity.name" : "名稱", |
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"io.sc.engine.mv.config.threshold.grid.entity.level" : "等級(越大越好)", |
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"io.sc.engine.mv.config.threshold.grid.entity.color" : "顏色", |
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"io.sc.engine.mv.config.threshold.grid.entity.range" : "預警閾值范围", |
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"io.sc.engine.mv.config.threshold.grid.entity.quantitativeRange" : "預警閾值范围(定量)", |
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"io.sc.engine.mv.config.threshold.grid.entity.qualitativeRange" : "預警閾值范围(定性)", |
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|
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"io.sc.engine.mv.config.binomial.grid.title" : "二項檢驗標準正態分佈顯著水平下的Z值常量列表", |
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"io.sc.engine.mv.config.binomial.grid.entity.significanceLevel" : "顯著水平", |
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"io.sc.engine.mv.config.binomial.grid.entity.confidenceLevel" : "置信水平", |
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"io.sc.engine.mv.config.binomial.grid.entity.zUpper" : "Z值上界", |
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"io.sc.engine.mv.config.binomial.grid.entity.zLower" : "Z值下界", |
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|
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"io.sc.engine.mv.config.chiSquare.grid.title" : "卡方檢驗臨界值常量列表", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.dof" : "自由度", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.significanceLevel" : "顯著水平", |
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"io.sc.engine.mv.config.chiSquare.grid.entity.criticalValue" : "臨界值", |
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|
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"io.sc.engine.mv.config.model.grid.title" : "模型列表", |
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"io.sc.engine.mv.config.model.grid.toolbar.importFromScoreRecordTable" : "從評分記錄表中導入", |
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"io.sc.engine.mv.config.model.grid.entity.type" : "模型創建類型", |
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"io.sc.engine.mv.config.model.grid.entity.modelId" : "模型標識", |
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"io.sc.engine.mv.config.model.grid.entity.modelName" : "模型名稱", |
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|
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"io.sc.engine.mv.config.distribution.grid.title" : "咨詢建模時樣本分佈情況配置列表", |
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"io.sc.engine.mv.config.distribution.grid.entity.modelId" : "模型標示", |
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"io.sc.engine.mv.config.distribution.grid.entity.modelName" : "模型名稱", |
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"io.sc.engine.mv.config.distribution.grid.entity.scoreSegStart" : "分數段開始值(含該值)", |
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"io.sc.engine.mv.config.distribution.grid.entity.scoreSegEnd" : "分數段結束值(含該值)", |
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"io.sc.engine.mv.config.distribution.grid.entity.count" : "評分段內樣本個數", |
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|
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"io.sc.engine.mv.config.scale.grid.title" : "標尺列表", |
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"io.sc.engine.mv.config.scale.grid.entity.modelId" : "模型標識", |
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"io.sc.engine.mv.config.scale.grid.entity.modelName" : "模型名稱", |
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"io.sc.engine.mv.config.scale.grid.entity.level" : "等級", |
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"io.sc.engine.mv.config.scale.grid.entity.pd" : "違約概率", |
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"io.sc.engine.mv.config.scale.grid.entity.order" : "排序", |
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|
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"io.sc.engine.mv.config.executor.grid.title" : "執行器列表", |
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|
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"io.sc.engine.mv.result.grid.title" : "驗證結果列表验证结果列表", |
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"io.sc.engine.mv.result.grid.entity.validateDate" : "驗證日期", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters" : "運行時參數", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateFrom" : "評級開始日期從", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateTo" : "評級開始日期到", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.performPeriod" : "表現期", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.binomialSignificanceLevel" : "二項檢驗顯著水平", |
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"io.sc.engine.mv.result.grid.entity.runtimeParameters.chiSquareSignificanceLevel" : "卡方檢驗顯著水平", |
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"io.sc.engine.mv.result.grid.entity.modelId" : "模型標識", |
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"io.sc.engine.mv.result.grid.entity.modelName" : "模型名稱", |
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"io.sc.engine.mv.result.grid.entity.executeMode" : "執行模式", |
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"io.sc.engine.mv.result.grid.entity.totalSampleCount" : "總樣本數", |
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"io.sc.engine.mv.result.grid.entity.defaultSampleCount" : "違約樣本數", |
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"io.sc.engine.mv.result.grid.entity.auc" : "AUC", |
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"io.sc.engine.mv.result.grid.entity.ar" : "AR", |
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"io.sc.engine.mv.result.grid.entity.ks" : "KS", |
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"io.sc.engine.mv.result.grid.entity.svd" : "SVD", |
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"io.sc.engine.mv.result.grid.entity.psi" : "PSI", |
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"io.sc.engine.mv.result.grid.entity.chiSquare" : "卡方檢驗", |
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"io.sc.engine.mv.result.grid.entity.binomial" : "二項檢驗" |
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} |
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{ |
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"menu.engine.mv" : "模型验证", |
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"menu.engine.mv.config" : "配置", |
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"menu.engine.mv.config.cutOffPoint" : "评分截断点", |
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"menu.engine.mv.config.threshold" : "预警阈值", |
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"menu.engine.mv.config.binomial" : "二项检验Z值常量", |
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"menu.engine.mv.config.chiSquare" : "卡方检验临界值常量", |
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"menu.engine.mv.config.model" : "模型", |
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"menu.engine.mv.config.distribution" : "建模时评分分布", |
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"menu.engine.mv.config.scale" : "标尺", |
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"menu.engine.mv.config.dataExtractor" : "数据抽取器接口", |
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"menu.engine.mv.config.executor" : "执行器", |
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"menu.engine.mv.sample" : "样本管理", |
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"menu.engine.mv.result" : "验证结果查看", |
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|
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"io.sc.engine.mv.config.cutOffPoint.grid.title" : "评分截断点配置列表", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.name" : "名称", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.from" : "起始值(含)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.to" : "结束值(含)", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.step" : "增量值", |
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"io.sc.engine.mv.config.cutOffPoint.grid.entity.scale" : "精度", |
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|
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"io.sc.engine.mv.config.threshold.grid.title" : "预警阈值配置列表", |
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"io.sc.engine.mv.config.threshold.grid.entity.name" : "名称", |
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"io.sc.engine.mv.config.threshold.grid.entity.level" : "等级(越大越好)", |
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"io.sc.engine.mv.config.threshold.grid.entity.color" : "颜色", |
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"io.sc.engine.mv.config.threshold.grid.entity.range" : "预警阈值范围", |
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"io.sc.engine.mv.config.threshold.grid.entity.quantitativeRange" : "预警阈值范围(定量)", |
|||
"io.sc.engine.mv.config.threshold.grid.entity.qualitativeRange" : "预警阈值范围(定性)", |
|||
|
|||
"io.sc.engine.mv.config.binomial.grid.title" : "二项检验标准正态分布显著水平下的Z值常量列表", |
|||
"io.sc.engine.mv.config.binomial.grid.entity.significanceLevel" : "显著水平", |
|||
"io.sc.engine.mv.config.binomial.grid.entity.confidenceLevel" : "置信水平", |
|||
"io.sc.engine.mv.config.binomial.grid.entity.zUpper" : "Z值上界", |
|||
"io.sc.engine.mv.config.binomial.grid.entity.zLower" : "Z值下界", |
|||
|
|||
"io.sc.engine.mv.config.chiSquare.grid.title" : "卡方分布临界值常量", |
|||
"io.sc.engine.mv.config.chiSquare.grid.entity.dof" : "自由度", |
|||
"io.sc.engine.mv.config.chiSquare.grid.entity.significanceLevel" : "显著水平", |
|||
"io.sc.engine.mv.config.chiSquare.grid.entity.criticalValue" : "临界值", |
|||
|
|||
"io.sc.engine.mv.config.model.grid.title" : "模型列表", |
|||
"io.sc.engine.mv.config.model.grid.toolbar.importFromScoreRecordTable" : "从评分记录表中导入", |
|||
"io.sc.engine.mv.config.model.grid.entity.type" : "模型创建类型", |
|||
"io.sc.engine.mv.config.model.grid.entity.modelId" : "模型标识", |
|||
"io.sc.engine.mv.config.model.grid.entity.modelName" : "模型名称", |
|||
|
|||
"io.sc.engine.mv.config.distribution.grid.title" : "咨询建模时样本分布情况配置列表", |
|||
"io.sc.engine.mv.config.distribution.grid.entity.modelId" : "模型标识", |
|||
"io.sc.engine.mv.config.distribution.grid.entity.modelName" : "模型名称", |
|||
"io.sc.engine.mv.config.distribution.grid.entity.scoreSegStart" : "分数段开始值(含该值)", |
|||
"io.sc.engine.mv.config.distribution.grid.entity.scoreSegEnd" : "分数段结束值(含该值)", |
|||
"io.sc.engine.mv.config.distribution.grid.entity.count" : "评分段内样本个数", |
|||
|
|||
"io.sc.engine.mv.config.scale.grid.title" : "标尺列表", |
|||
"io.sc.engine.mv.config.scale.grid.entity.modelId" : "模型标识", |
|||
"io.sc.engine.mv.config.scale.grid.entity.modelName" : "模型名称", |
|||
"io.sc.engine.mv.config.scale.grid.entity.level" : "等级", |
|||
"io.sc.engine.mv.config.scale.grid.entity.pd" : "违约概率", |
|||
"io.sc.engine.mv.config.scale.grid.entity.order" : "排序", |
|||
|
|||
"io.sc.engine.mv.config.dataExtractor.grid.title" : "数据抽取器列表", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.name" : "名称", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.enable" : "是否可用", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.datasourceName" : "外部数据源名称", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.order" : "执行顺序", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.executeTimeWeight" : "预计执行时间权重", |
|||
"io.sc.engine.mv.config.dataExtractor.grid.entity.groovyScript" : "Groovy 脚本", |
|||
|
|||
"io.sc.engine.mv.config.executor.grid.title" : "执行器列表", |
|||
|
|||
"io.sc.engine.mv.result.grid.title" : "验证结果列表", |
|||
"io.sc.engine.mv.result.grid.entity.validateDate" : "验证日期", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters" : "运行时参数", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateFrom" : "评级开始日期从", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters.rateStartDateTo" : "评级开始日期到", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters.performPeriod" : "表现期", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters.binomialSignificanceLevel" : "二项检验显著水平", |
|||
"io.sc.engine.mv.result.grid.entity.runtimeParameters.chiSquareSignificanceLevel" : "卡方检验显著水平", |
|||
"io.sc.engine.mv.result.grid.entity.modelId" : "模型标识", |
|||
"io.sc.engine.mv.result.grid.entity.modelName" : "模型名称", |
|||
"io.sc.engine.mv.result.grid.entity.executeMode" : "执行模式", |
|||
"io.sc.engine.mv.result.grid.entity.totalSampleCount" : "总样本数", |
|||
"io.sc.engine.mv.result.grid.entity.defaultSampleCount" : "违约样本数", |
|||
"io.sc.engine.mv.result.grid.entity.discrimination" : "区分能力", |
|||
"io.sc.engine.mv.result.grid.entity.total" : "总体", |
|||
"io.sc.engine.mv.result.grid.entity.auc" : "AUC", |
|||
"io.sc.engine.mv.result.grid.entity.ar" : "AR", |
|||
"io.sc.engine.mv.result.grid.entity.ks" : "KS", |
|||
"io.sc.engine.mv.result.grid.entity.stability" : "稳定性", |
|||
"io.sc.engine.mv.result.grid.entity.svd" : "SVD", |
|||
"io.sc.engine.mv.result.grid.entity.psi" : "PSI", |
|||
"io.sc.engine.mv.result.grid.entity.scaleValidate" : "标尺检验", |
|||
"io.sc.engine.mv.result.grid.entity.chiSquare" : "卡方检验", |
|||
"io.sc.engine.mv.result.grid.entity.binomial" : "二项检验" |
|||
} |
@ -0,0 +1,69 @@ |
|||
<template> |
|||
<w-grid |
|||
:title="$t('io.sc.engine.mv.config.model.grid.title')" |
|||
:config-button="true" |
|||
selection="multiple" |
|||
:checkbox-selection="true" |
|||
:data-url="Environment.apiContextPath('/api/mv/config/model')" |
|||
:pageable="false" |
|||
:toolbar-configure="{ noIcon: false }" |
|||
:toolbar-actions="[ |
|||
'refresh', |
|||
'separator', |
|||
'add', |
|||
'edit', |
|||
'remove', |
|||
'separator', |
|||
{ |
|||
name: 'importFromScoreRecordTable', |
|||
label: $t('io.sc.engine.mv.config.model.grid.toolbar.importFromScoreRecordTable'), |
|||
icon: 'bi-arrow-right-circle', |
|||
click: () => {}, |
|||
}, |
|||
'separator', |
|||
'view', |
|||
'separator', |
|||
'export', |
|||
]" |
|||
:columns="[ |
|||
{ width: 150, name: 'modelId', label: $t('io.sc.engine.mv.config.model.grid.entity.modelId') }, |
|||
{ width: '100%', name: 'modelName', label: $t('io.sc.engine.mv.config.model.grid.entity.modelName') }, |
|||
{ width: 200, name: 'type', label: $t('io.sc.engine.mv.config.model.grid.entity.type'), format: Formater.enum(ModelTypeEnum) }, |
|||
{ width: 100, name: 'lastModifier', label: $t('lastModifier') }, |
|||
{ width: 150, name: 'lastModifyDate', label: $t('lastModifyDate'), format: Formater.dateOnly() }, |
|||
]" |
|||
:editor="{ |
|||
dialog: { |
|||
width: '600px', |
|||
height: '300px', |
|||
}, |
|||
form: { |
|||
colsNum: 1, |
|||
fields: [ |
|||
{ name: 'modelId', label: $t('io.sc.engine.mv.config.model.grid.entity.modelId'), type: 'text' }, |
|||
{ name: 'modelName', label: $t('io.sc.engine.mv.config.model.grid.entity.modelName'), type: 'text' }, |
|||
], |
|||
}, |
|||
}" |
|||
:viewer="{ |
|||
panel: { |
|||
columnNum: 1, |
|||
fields: [ |
|||
{ name: 'id', label: $t('id') }, |
|||
{ name: 'modelId', label: $t('io.sc.engine.mv.config.model.grid.entity.modelId') }, |
|||
{ name: 'modelName', label: $t('io.sc.engine.mv.config.model.grid.entity.modelName') }, |
|||
{ name: 'type', label: $t('io.sc.engine.mv.config.model.grid.entity.type'), format: Formater.none() }, |
|||
{ name: 'creator', label: $t('creator') }, |
|||
{ name: 'createDate', label: $t('createDate') }, |
|||
{ name: 'lastModifier', label: $t('lastModifier') }, |
|||
{ name: 'lastModifyDate', label: $t('lastModifyDate'), format: Formater.none() }, |
|||
], |
|||
}, |
|||
}" |
|||
></w-grid> |
|||
</template> |
|||
<script setup lang="ts"> |
|||
import { Environment, EnumTools, Formater } from 'platform-core'; |
|||
|
|||
const ModelTypeEnum = await EnumTools.fetch('io.sc.engine.mv.ModelType'); |
|||
</script> |
@ -0,0 +1,17 @@ |
|||
/* |
|||
* 国际化消息源插件配置 |
|||
* 功能: 该插件配置为框架提供国际化消息资源 |
|||
* 使用说明: |
|||
* includes: 包含国际化消息资源列表 |
|||
* excludes: 排除国际化消息资源列表 |
|||
* 注意: 当一个包名同时存在于 includes 和 excludes 中, excludes 优先, 即该包不会被自动扫描 |
|||
*/ |
|||
|
|||
|
|||
{ |
|||
"includes":[ |
|||
"io/sc/engine/mv/i18n/messages", |
|||
"io/sc/engine/mv/i18n/enums" |
|||
], |
|||
"excludes":[] |
|||
} |
@ -0,0 +1,15 @@ |
|||
/* |
|||
* p6spy 插件配置 |
|||
* 功能: 该插件配置为框架提供 p6spy 配置 |
|||
* 使用说明: |
|||
* ignoredPatterns: 忽略显示 jdbc 输出信息正则表达式列表 |
|||
*/ |
|||
|
|||
/* 以下示例将不显示 p6spy 输出的 commit */ |
|||
/* |
|||
{ |
|||
"ignoredPatterns":[ |
|||
"commit" |
|||
] |
|||
} |
|||
*/ |
@ -0,0 +1,51 @@ |
|||
# executor |
|||
io.sc.engine.mv.executor.DatabaseInitExecutor.name=Database Initializer |
|||
io.sc.engine.mv.executor.DatabaseInitExecutor.description=initialize the database |
|||
|
|||
io.sc.engine.mv.executor.ResultExecutor.name=Result Handler |
|||
io.sc.engine.mv.executor.ResultExecutor.description=save the result and runtime parameters |
|||
|
|||
io.sc.engine.mv.executor.ResultInitExecutor.name=Result Initializer |
|||
io.sc.engine.mv.executor.ResultInitExecutor.description=clear previous result |
|||
|
|||
io.sc.engine.mv.executor.SampleCountExecutor.name=Good Sample Counter |
|||
io.sc.engine.mv.executor.SampleCountExecutor.description=count the score records and default records |
|||
|
|||
io.sc.engine.mv.executor.SampleExecutor.name=Good Sample Handler |
|||
io.sc.engine.mv.executor.SampleExecutor.description=generate good sample |
|||
|
|||
io.sc.engine.mv.executor.ScCapExecutor.name=Discrimination, CAP |
|||
io.sc.engine.mv.executor.ScCapExecutor.description=generate CAP curve and calculate AR |
|||
|
|||
io.sc.engine.mv.executor.ScCapQualitativeExecutor.name=Discrimination, CAP(qualitative) |
|||
io.sc.engine.mv.executor.ScCapQualitativeExecutor.description=generate CAP curve for qualitative and calculate AR for qualitative |
|||
|
|||
io.sc.engine.mv.executor.ScCapQuantitativeExecutor.name=Discrimination, CAP(quantitative) |
|||
io.sc.engine.mv.executor.ScCapQuantitativeExecutor.description=generate CAP curve for quantitative and calculate AR for quantitative |
|||
|
|||
io.sc.engine.mv.executor.ScKsExecutor.name=Discrimination, KS |
|||
io.sc.engine.mv.executor.ScKsExecutor.description=generate KS curve and calculate KS |
|||
|
|||
io.sc.engine.mv.executor.ScKsQualitativeExecutor.name=Discrimination, KS(qualitative) |
|||
io.sc.engine.mv.executor.ScKsQualitativeExecutor.description=generate KS curve for qualitative and calculate KS for qualitative |
|||
|
|||
io.sc.engine.mv.executor.ScKsQuantitativeExecutor.name=Discrimination, KS(quantitative) |
|||
io.sc.engine.mv.executor.ScKsQuantitativeExecutor.description=generate KS curve for quantitative and calculate KS for quantitative |
|||
|
|||
io.sc.engine.mv.executor.ScRocExecutor.name=Discrimination, ROC |
|||
io.sc.engine.mv.executor.ScRocExecutor.description=generate ROC curve and calculate AUC |
|||
|
|||
io.sc.engine.mv.executor.ScRocQualitativeExecutor.name=Discrimination, ROC(qualitative) |
|||
io.sc.engine.mv.executor.ScRocQualitativeExecutor.description=generate ROC curve for qualitative and calculate AUC for qualitative |
|||
|
|||
io.sc.engine.mv.executor.ScRocQuantitativeExecutor.name=Discrimination, ROC(quantitative) |
|||
io.sc.engine.mv.executor.ScRocQuantitativeExecutor.description=generate ROC curve for quantitative and calculate AUC for quantitative |
|||
|
|||
io.sc.engine.mv.executor.StPsiExecutor.name=Stability, PSI |
|||
io.sc.engine.mv.executor.StPsiExecutor.description=generate ROC chart and calculate PSI |
|||
|
|||
io.sc.engine.mv.executor.CoeChiSquareExecutor.name=Chi-square |
|||
io.sc.engine.mv.executor.CoeChiSquareExecutor.description=chi-square validater |
|||
|
|||
io.sc.engine.mv.executor.CoeBinomialExecutor.name=Binomial |
|||
io.sc.engine.mv.executor.CoeBinomialExecutor.description=binomial validater |
@ -0,0 +1,51 @@ |
|||
# executor |
|||
io.sc.engine.mv.executor.DatabaseInitExecutor.name=\u6570\u636E\u5E93\u521D\u59CB\u5316\u6267\u884C\u5668 |
|||
io.sc.engine.mv.executor.DatabaseInitExecutor.description=\u5728\u6A21\u578B\u9A8C\u8BC1\u6267\u884C\u524D\u5BF9\u6570\u636E\u5E93\u8FDB\u884C\u5FC5\u8981\u7684\u521D\u59CB\u5316\u64CD\u4F5C |
|||
|
|||
io.sc.engine.mv.executor.ResultExecutor.name=\u6A21\u578B\u9A8C\u8BC1\u7ED3\u679C\u6267\u884C\u5668 |
|||
io.sc.engine.mv.executor.ResultExecutor.description=\u5C06\u6A21\u578B\u9A8C\u8BC1\u7ED3\u679C\u5B58\u5165\u9A8C\u8BC1\u7ED3\u679C\u5386\u53F2\u8868\u4E2D,\u5E76\u5C06\u6267\u884C\u73AF\u5883\u548C\u53C2\u6570\u4FDD\u5B58 |
|||
|
|||
io.sc.engine.mv.executor.ResultInitExecutor.name=\u6A21\u578B\u9A8C\u8BC1\u7ED3\u679C\u521D\u59CB\u5316\u6267\u884C\u5668 |
|||
io.sc.engine.mv.executor.ResultInitExecutor.description=\u6E05\u7A7A\u4E0A\u4E00\u6B21\u8FD0\u884C\u7684\u6A21\u578B\u9A8C\u8BC1\u7ED3\u679C,\u4E3A\u672C\u6B21\u6A21\u578B\u9A8C\u8BC1\u7ED3\u679C\u51C6\u5907\u521D\u59CB\u5316\u73AF\u5883 |
|||
|
|||
io.sc.engine.mv.executor.SampleCountExecutor.name=\u5408\u683C\u6837\u672C\u6570\u91CF\u7EDF\u8BA1\u6267\u884C\u5668 |
|||
io.sc.engine.mv.executor.SampleCountExecutor.description=\u7EDF\u8BA1\u5408\u683C\u6837\u672C\u7684\u603B\u4E2A\u6570\u548C\u4E8B\u5B9E\u8FDD\u7EA6\u4E2A\u6570 |
|||
|
|||
io.sc.engine.mv.executor.SampleExecutor.name=\u5408\u683C\u6837\u672C\u5904\u7406\u6267\u884C\u5668 |
|||
io.sc.engine.mv.executor.SampleExecutor.description=\u751F\u6210\u5408\u683C\u6837\u672C\u96C6 |
|||
|
|||
io.sc.engine.mv.executor.ScCapExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,CAP \u66F2\u7EBF\u6267\u884C\u5668(\u603B\u4F53) |
|||
io.sc.engine.mv.executor.ScCapExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 CAP \u66F2\u7EBF(\u603B\u4F53),\u540C\u65F6\u8BA1\u7B97 AR \u503C(\u603B\u4F53) |
|||
|
|||
io.sc.engine.mv.executor.ScCapQualitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,CAP \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u6027) |
|||
io.sc.engine.mv.executor.ScCapQualitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 CAP \u66F2\u7EBF(\u5B9A\u6027),\u540C\u65F6\u8BA1\u7B97 AR \u503C(\u5B9A\u6027) |
|||
|
|||
io.sc.engine.mv.executor.ScCapQuantitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,CAP \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u91CF) |
|||
io.sc.engine.mv.executor.ScCapQuantitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 CAP \u66F2\u7EBF(\u5B9A\u91CF),\u540C\u65F6\u8BA1\u7B97 AR \u503C(\u5B9A\u91CF) |
|||
|
|||
io.sc.engine.mv.executor.ScKsExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,KS \u66F2\u7EBF\u6267\u884C\u5668(\u603B\u4F53) |
|||
io.sc.engine.mv.executor.ScKsExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 KS \u66F2\u7EBF(\u603B\u4F53),\u540C\u65F6\u8BA1\u7B97 KS \u503C(\u603B\u4F53) |
|||
|
|||
io.sc.engine.mv.executor.ScKsQualitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,KS \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u6027) |
|||
io.sc.engine.mv.executor.ScKsQualitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 KS \u66F2\u7EBF(\u5B9A\u6027),\u540C\u65F6\u8BA1\u7B97 KS \u503C(\u5B9A\u6027) |
|||
|
|||
io.sc.engine.mv.executor.ScKsQuantitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,KS \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u91CF) |
|||
io.sc.engine.mv.executor.ScKsQuantitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 KS \u66F2\u7EBF(\u5B9A\u91CF),\u540C\u65F6\u8BA1\u7B97 KS \u503C(\u5B9A\u91CF) |
|||
|
|||
io.sc.engine.mv.executor.ScRocExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,ROC \u66F2\u7EBF\u6267\u884C\u5668(\u603B\u4F53) |
|||
io.sc.engine.mv.executor.ScRocExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 ROC \u66F2\u7EBF(\u603B\u4F53),\u540C\u65F6\u8BA1\u7B97 AUC \u503C(\u603B\u4F53) |
|||
|
|||
io.sc.engine.mv.executor.ScRocQualitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,ROC \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u6027) |
|||
io.sc.engine.mv.executor.ScRocQualitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 ROC \u66F2\u7EBF(\u5B9A\u6027),\u540C\u65F6\u8BA1\u7B97 AUC \u503C(\u5B9A\u6027) |
|||
|
|||
io.sc.engine.mv.executor.ScRocQuantitativeExecutor.name=\u6A21\u578B\u533A\u5206\u80FD\u529B\u9A8C\u8BC1,ROC \u66F2\u7EBF\u6267\u884C\u5668(\u5B9A\u91CF) |
|||
io.sc.engine.mv.executor.ScRocQuantitativeExecutor.description=\u9A8C\u8BC1\u6A21\u578B\u533A\u5206\u80FD\u529B,\u751F\u6210 ROC \u66F2\u7EBF(\u5B9A\u91CF),\u540C\u65F6\u8BA1\u7B97 AUC \u503C(\u5B9A\u91CF) |
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io.sc.engine.mv.executor.StPsiExecutor.name=\u6A21\u578B\u7A33\u5B9A\u6027\u9A8C\u8BC1,\u5BA2\u6237\u7FA4\u4F53\u7A33\u5B9A\u6027\u62A5\u544A\u6267\u884C\u5668 |
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io.sc.engine.mv.executor.StPsiExecutor.description=\u751F\u6210\u5BA2\u6237\u7FA4\u4F53\u7A33\u5B9A\u6027\u62A5\u544A,\u540C\u65F6\u8BA1\u7B97 PSI \u503C |
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io.sc.engine.mv.executor.CoeChiSquareExecutor.name=\u6A21\u578B\u4F30\u503C\u51C6\u786E\u6027\u9A8C\u8BC1(\u5361\u65B9\u68C0\u9A8C) |
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io.sc.engine.mv.executor.CoeChiSquareExecutor.description=\u8BA1\u7B97\u5361\u65B9\u68C0\u9A8C\u503C |
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io.sc.engine.mv.executor.CoeBinomialExecutor.name=\u6A21\u578B\u4F30\u503C\u51C6\u786E\u6027\u9A8C\u8BC1(\u4E8C\u9879\u68C0\u9A8C) |
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io.sc.engine.mv.executor.CoeBinomialExecutor.description=\u4E8C\u9879\u68C0\u9A8C\u503C |
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Reference in new issue