platform/io.sc.engine.mv.frontend/src/i18n/messages_zh_CN.json

{
  "menu.engine.mv" : "模型验证",
  "menu.engine.mv.config" : "配置",
  "menu.engine.mv.config.cutOffPoint" : "评分截断点",
  "menu.engine.mv.config.threshold" : "预警阈值",
  "menu.engine.mv.config.binomial" : "二项检验Z值常量",
  "menu.engine.mv.config.chiSquare" : "卡方检验临界值常量",
  "menu.engine.mv.config.model" : "模型",
  "menu.engine.mv.config.distribution" : "建模时评分分布",
  "menu.engine.mv.config.scale" : "标尺",
  "menu.engine.mv.config.dataExtractor" : "数据抽取器接口",
  "menu.engine.mv.config.executor" : "执行器",
  "menu.engine.mv.sample" : "样本管理",
  "menu.engine.mv.result" : "验证结果查看",

  "io.sc.engine.mv.config.cutOffPoint.grid.title" : "评分截断点配置列表",
  "io.sc.engine.mv.config.cutOffPoint.grid.entity.name" : "名称",
  "io.sc.engine.mv.config.cutOffPoint.grid.entity.from" : "起始值(含)",
  "io.sc.engine.mv.config.cutOffPoint.grid.entity.to" : "结束值(含)",
  "io.sc.engine.mv.config.cutOffPoint.grid.entity.step" : "增量值",
  "io.sc.engine.mv.config.cutOffPoint.grid.entity.scale" : "精度",

  "io.sc.engine.mv.config.threshold.grid.title" : "预警阈值配置列表",
  "io.sc.engine.mv.config.threshold.grid.entity.name" : "名称",
  "io.sc.engine.mv.config.threshold.grid.entity.level" : "等级(越大越好)",
  "io.sc.engine.mv.config.threshold.grid.entity.color" : "颜色",
  "io.sc.engine.mv.config.threshold.grid.entity.range" : "预警阈值范围",
  "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.sample.tabs.sample" : "合格样本",
  "io.sc.engine.mv.sample.tabs.scoreRecord" : "评分记录",
  "io.sc.engine.mv.sample.tabs.defaultRecord" : "违约记录",

  "io.sc.engine.mv.sample.sample.grid.title" : "合格样本列表",
  "io.sc.engine.mv.sample.sample.grid.entity.validateDate" : "验证日期",
  "io.sc.engine.mv.sample.sample.grid.entity.customId" : "客户标识",
  "io.sc.engine.mv.sample.sample.grid.entity.customName" : "客户名称",
  "io.sc.engine.mv.sample.sample.grid.entity.modelId" : "模型标识",
  "io.sc.engine.mv.sample.sample.grid.entity.modelName" : "模型名称",
  "io.sc.engine.mv.sample.sample.grid.entity.pd" : "违约概率",
  "io.sc.engine.mv.sample.sample.grid.entity.score" : "评分",
  "io.sc.engine.mv.sample.sample.grid.entity.scoreQuantitative" : "定量评分",
  "io.sc.engine.mv.sample.sample.grid.entity.scoreQualitative" : "定性评分",
  "io.sc.engine.mv.sample.sample.grid.entity.level" : "等级",
  "io.sc.engine.mv.sample.sample.grid.entity.beginDate" : "评分开始日期",
  "io.sc.engine.mv.sample.sample.grid.entity.endDate" : "评分结束日期",
  "io.sc.engine.mv.sample.sample.grid.entity.defaultConfirmDate" : "违约确定日期",


  "io.sc.engine.mv.sample.scoreRecord.grid.title" : "评分记录列表",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.customId" : "客户标识",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.customName" : "客户名称",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.modelId" : "模型标识",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.modelName" : "模型名称",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.pd" : "违约概率",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.score" : "评分",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.scoreQuantitative" : "定量评分",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.scoreQualitative" : "定性评分",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.level" : "等级",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.scoreBeginDate" : "评分开始日期",
  "io.sc.engine.mv.sample.scoreRecord.grid.entity.scoreEndDate" : "评分结束日期",

  "io.sc.engine.mv.sample.defaultRecord.grid.title" : "违约记录列表",
  "io.sc.engine.mv.sample.defaultRecord.grid.entity.customId" : "客户标识",
  "io.sc.engine.mv.sample.defaultRecord.grid.entity.defaultConfirmDate" : "违约确定日期",

  "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.total.auc" : "AUC(总体)",
  "io.sc.engine.mv.result.grid.entity.total.ar" : "AR(总体)",
  "io.sc.engine.mv.result.grid.entity.total.ks" : "KS(总体)",
  "io.sc.engine.mv.result.grid.entity.quantitative.auc" : "AUC(定量)",
  "io.sc.engine.mv.result.grid.entity.quantitative.ar" : "AR(定量)",
  "io.sc.engine.mv.result.grid.entity.quantitative.ks" : "KS(定量)",
  "io.sc.engine.mv.result.grid.entity.qualitative.auc" : "AUC(定性)",
  "io.sc.engine.mv.result.grid.entity.qualitative.ar" : "AR(定性)",
  "io.sc.engine.mv.result.grid.entity.qualitative.ks" : "KS(定性)",
  "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",

  "io.sc.engine.mv.result.curve.references" : "参考标准",
  "io.sc.engine.mv.result.curve.viewData" : "查看 {type} 数据",
  "io.sc.engine.mv.result.curve.scoreCutOffPoint" : "评分截断点",

  "io.sc.engine.mv.result.curve.roc.dd" : "(DD)实际违约且预测违约样本总数",
  "io.sc.engine.mv.result.curve.roc.dn" : "(DN)实际违约且预测正常样本总数",
  "io.sc.engine.mv.result.curve.roc.nd" : "(ND)实际正常且预测违约样本总数",
  "io.sc.engine.mv.result.curve.roc.nn" : "(NN)实际正常且预测正常样本总数",
  "io.sc.engine.mv.result.curve.roc.td" : "(TD)实际违约样本总数",
  "io.sc.engine.mv.result.curve.roc.tn" : "(TN)实际正常样本总数",
  "io.sc.engine.mv.result.curve.roc.x" : "(X=ND/TN)违约预测误警率",
  "io.sc.engine.mv.result.curve.roc.y" : "(Y=DD/TD)违约预测命中率",

  "io.sc.engine.mv.result.curve.cap.ts" : "(TS)评分小于等于截断点的样本个数",
  "io.sc.engine.mv.result.curve.cap.tt" : "(TT)样本总数",
  "io.sc.engine.mv.result.curve.cap.tds" : "(TDS)评分小于等于截断点的事实违约样本个数",
  "io.sc.engine.mv.result.curve.cap.tdt" : "(TDT)事实违约样本总数",
  "io.sc.engine.mv.result.curve.cap.x" : "(X)违约样本百分比",
  "io.sc.engine.mv.result.curve.cap.y" : "(Y)样本百分比",

  "io.sc.engine.mv.result.curve.ks.n" : "(N)评分小于等于截断点事实正常的样本个数",
  "io.sc.engine.mv.result.curve.ks.tn" : "(TN)事实正常样本总数",
  "io.sc.engine.mv.result.curve.ks.d" : "(D)评分小于等于截断点事实违约样本个数",
  "io.sc.engine.mv.result.curve.ks.td" : "(TD)事实违约样本总数",
  "io.sc.engine.mv.result.curve.ks.y1" : "(Y1)正常样本占比",
  "io.sc.engine.mv.result.curve.ks.y2" : "(Y2)违约样本占比",

  "io.sc.engine.mv.result.chiSquare.level" : "评分等级",
  "io.sc.engine.mv.result.chiSquare.pd" : "违约概率",
  "io.sc.engine.mv.result.chiSquare.count" : "样本总数",
  "io.sc.engine.mv.result.chiSquare.defaultCount" : "事实违约样本个数",
  "io.sc.engine.mv.result.chiSquare.chiSquare" : "卡方检验值",
  
  "io.sc.engine.mv.result.binomial.level" : "评分等级",
  "io.sc.engine.mv.result.binomial.pd" : "违约概率",
  "io.sc.engine.mv.result.binomial.count" : "样本总数",
  "io.sc.engine.mv.result.binomial.defaultCount" : "事实违约样本个数",
  "io.sc.engine.mv.result.binomial.ndAvg" : "正态分布平均数",
  "io.sc.engine.mv.result.binomial.ndSd" : "正态分布标准差",
  "io.sc.engine.mv.result.binomial.sl" : "显著水平",
  "io.sc.engine.mv.result.binomial.cl" : "置信水平",
  "io.sc.engine.mv.result.binomial.zUpper" : "正态分布Z值上界",
  "io.sc.engine.mv.result.binomial.zLower" : "正态分布Z值下界",
  "io.sc.engine.mv.result.binomial.dUpper" : "临界值上界",
  "io.sc.engine.mv.result.binomial.dLower" : "临界值下界",
  "io.sc.engine.mv.result.binomial.leUpper" : "事实违约个数是否小于等于上界",
  "io.sc.engine.mv.result.binomial.geLower" : "事实违约个数是否大于等于下界"
}