mirror of
https://github.com/ckaczor/azuredatastudio.git
synced 2026-02-17 11:01:37 -05:00
523dd8ad4b
* Initial update to german vscode * more cleanup for vscode git german. * added working alias replacer, need to add all string entities * added aliased bundle strings * added extension files, need to update package and readme * added update to changelog, and restored vscode extensions * added comments
233 lines
14 KiB
JSON
233 lines
14 KiB
JSON
{
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"": [
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"--------------------------------------------------------------------------------------------",
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"Copyright (c) Microsoft Corporation. All rights reserved.",
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"Licensed under the Source EULA. See License.txt in the project root for license information.",
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"--------------------------------------------------------------------------------------------",
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"Do not edit this file. It is machine generated."
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],
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"version": "1.0.0",
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"contents": {
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"dist/common/constants": {
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"mls.verifyOdbcDriverError.error": "包管理需要“{0}”。请确保其已安装并正确设置。",
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"models.browseButton": "...",
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"mls.configAction": "操作",
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"extLang.newLanguageTabTitle": "新增",
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"models.confirmDeleteModel": "确定要删除模型“{0}”?",
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"mls.confirmInstallPythonPackages": "是否确实要安装所需的包?",
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"models.azureModelWorkspace": "Azure ML 工作区",
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"models.azureModelSource": "Azure 机器学习",
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"models.azureAccount": "Azure 帐户",
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"models.azureModelsTitle": "Azure 模型",
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"models.azureSignIn": "Azure 登录或刷新帐户",
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"models.azureSubscription": "Azure 订阅",
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"extLang.CancelButtonText": "取消",
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"mls.cannotFindPython.error": "找不到 Python 可执行文件“{0}”。请确保已正确安装和配置 Python",
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"mls.cannotFindR.error": "找不到 R 可执行文件“{0}”。请确保已正确安装和配置 R",
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"models.columnDataTypeMismatchWarningHelper": "单击以查看警告详细信息",
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"extLang.DoneButtonText": "关闭",
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"mls.configTitle": "配置",
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"mls.resourceNotFound": "无法找到指定的资源",
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"models.createNotebookTitle": "创建笔记本",
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"databaseName": "数据库",
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"models.created": "已创建日期",
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"models.imported": "已导入日期",
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"extLang.delete": "删除",
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"models.description": "说明",
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"models.columnDataTypeMismatchWarningHeading": "数据类型的差异",
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"mls.disableButtonTitle": "禁用",
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"predict.displayName": "显示名称",
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"mls.downloadingProgress": "正在下载",
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"models.downloadModelMsgTaskName": "正在从 Azure 下载模型",
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"editTitle": "编辑",
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"models.editModelTitle": "编辑模型",
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"mls.enableButtonTitle": "启用",
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"mls.configStatus": "已启用",
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"models.modelDetailsPageTitle": "输入模型详细信息",
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"extLang.envVariables": "环境变量",
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"mls.downloadError": "下载时出错",
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"azure.resource.error": "错误: {0}",
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"existingTableName": "现有表",
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"extLang.extensionFileName": "扩展文件名",
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"mls.externalExecuteScriptTitle": "外部执行脚本",
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"mls.externalScriptsIsRequiredError": "此操作需要外部脚本配置。",
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"mls.confirmEnableExternalScripts": "包管理需要外部脚本。是否确实要启用它?",
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"mls.taskFailedError.error": "无法完成任务“{0}”。错误: {1}",
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"mls.enableExternalScriptsError": "未能启用外部脚本。",
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"mls.installDependencies.getPackagesError": "未能获取已安装的 python 包。错误: {0}",
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"extLang.installFailedError": "未能安装语言",
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"models.loadModelParameterFailedError": "未能加载模型参数’",
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"mls.configUpdateFailed": "未能修改机器学习服务配置",
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"models.importModelFailedError": "未能注册模型: {0}，文件: {1}",
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"extLang.updateFailedError": "未能更新语言",
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"models.updateModelFailedError": "未能更新模型",
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"models.modelUpdateFailedError": "未能更新模型",
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"models.fileName": "文件",
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"extLang.fileBrowserTabTitle": "文件浏览器",
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"models.modelLocalSourceTooltip": "要导入的模型的文件路径",
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"models.localModelSource": "文件上传",
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"models.azureModelFilter": "筛选器",
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"models.framework": "框架",
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"models.frameworkVersion": "框架版本",
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"models.makePredictionDesc": "使用托管模型生成预测值或分数",
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"sqlMlsMIDocDesc": "Azure SQL 托管实例中的机器学习服务入门。",
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"sqlMlsDocDesc": "SQL Server 上的机器学习服务入门，以及如何在 Windows 和 Linux 上安装它。",
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"onnxOnEdgeOdbcDocDesc": "Azure SQL 数据库 Edge 中的机器学习入门",
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"models.importModelDoneButton": "导入",
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"models.azureModelPageTitle": "从 Azure 机器学习导入",
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"models.RegisterWizard": "导入模型",
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"models.importModelDesc": "导入或查看存储在数据库中的机器学习模型",
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"models.importModelTitle": "导入或查看模型",
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"models.registeredModelsSource": "导入的模型",
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"extLang.installButtonText": "安装",
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"mlsInstallObdcDocTitle": "安装 Microsoft ODBC driver for SQL Server",
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"extLang.languageCreatedDate": "已安装",
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"extLang.installTabTitle": "已安装",
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"mls.installingDependencies": "正在安装依赖项...",
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"mls.installDependencies.packages": "正在安装所需的包...",
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"models.invalidAzureResourceError": "Azure 资源无效",
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"mls.invalidModelIdError": "模型 ID 无效。模型 URL: {0}",
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"models.invalidModelToPredictError": "要预测的模型无效",
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"models.invalidModelToRegisterError": "要注册的模型无效",
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"models.invalidImportTableError": "导入模型的表无效。数据库名: {0}，表名: {1}",
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"models.modelSchemaIsNotAcceptedMessage": "表结构无效!",
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"extLang.extensionFileLocation": "语言扩展位置",
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"extLang.extensionFilePath": "语言扩展路径",
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"extLang.DialogTitle": "语言",
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"mls.latestVersion": "最新",
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"sqlMlExtDocDesc": "了解如何在 Azure Data Studio 中使用机器学习扩展来管理包、进行预测和导入模型。",
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"sqlMlDocDesc": "了解如何在 Azure 上的 SQL Server 和 SQL 中使用机器学习，以对关系数据运行 Python 和 R 脚本。",
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"learnMoreTitle": "了解详细信息",
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"models.learnMoreLink": "了解详细信息。",
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"models.localModelsTitle": "本地模型",
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"mls.mssqlExtensionNotLoaded": "未加载 MSSQL 扩展",
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"dashboardTitle": "机器学习",
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"mls.enabledMessage": "已启用机器学习服务",
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"sqlMlsMIDocTitle": "Azure SQL 托管实例中的机器学习服务",
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"sqlMlExtDocTitle": "Azure Data Studio 中的机器学习扩展",
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"dashboardDesc": "针对 SQL 数据库的机器学习",
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"models.viewImportModelsDesc": "机器学习模型可以存储在一个或多个数据库和表中。选择模型数据库和表以查看其中的模型。",
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"onnxOnEdgeOdbcDocTitle": "SQL 数据库 Edge 预览版中使用 ONNX 的机器学习和 AI",
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"models.makePredictionTitle": "进行预测",
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"models.columnSelectionPageTitle": "将源数据映射到模型",
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"predict.inputColumns": "模型输入映射",
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"mls.noArtifactError": "模型没有任何项目。模型 URL: {0}",
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"models.modelFailedToRegistered": "模型未能注册",
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"predict.inputName": "模型输入",
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"models.modelNameRequiredError": "模型名称是必填项。",
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"predict.outputColumns": "模型输出",
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"models.modelRegisteredSuccessfully": "已成功注册类型",
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"models.modelUpdatedSuccessfully": "已成功更新模型",
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"models.currentModelsTitle": "模型",
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"models.azureModels": "模型",
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"predict.outputName": "名称",
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"models.name": "名称",
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"extLang.languageName": "名称",
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"newTableName": "新建表",
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"msgNo": "否",
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"mls.noResultError": "未返回任何结果",
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"mls.packageManager.NoConnection": "未选择连接",
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"models.azureModelsListEmptyTitle": "找不到任何模型",
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"models.modelsListEmptyMessage": "找不到任何模型",
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"notSupportedEventArg": "不受支持的事件参数",
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"mls.notebookExtensionNotLoaded": "未加载笔记本扩展",
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"extLang.OkButtonText": "确定",
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"models.onnxNotSupportedError": "当前服务器中不支持 ONNX 运行时",
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"mls.httpGetRequestError": "包信息请求失败，出现错误: {0} {1}",
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"mls.managePackages.error": "服务器不支持包管理。请确保已安装 Python 或 R。",
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"extLang.parameters": "参数",
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"extLang.languagePlatform": "平台",
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"models.invalidModelToSelectError": "请选择一个有效模型",
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"models.invalidModelImportTargetError": "请选择一个有效任务",
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"models.modelsRequiredError": "请至少选择一个要导入的模型。",
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"models.invalidModelParametersError": "请选择有效的源表和模型参数",
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"models.predictModel": "预测",
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"mls.pythonLanguageTitle": "Python",
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"mls.pythonConfigError": "未配置 Python 可执行文件",
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"mls.rLanguageTitle": "R",
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"mls.rConfigError": "未配置 R 可执行文件",
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"mls.installDependencies.packagesAlreadyInstalled": "已安装所需的包。",
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"models.azureGroup": "资源组",
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"models.createNotebookDesc": "在笔记本中运行试验和创建模型",
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"sqlMlsDocTitle": "SQL Server 机器学习服务(Python 和 R)",
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"sqlMlDocTitle": "SQL 机器学习文档",
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"extLang.SaveButtonText": "保存",
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"models.selectModelDatabaseMessage": "选择数据库",
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"databaseToStoreInfo": "选择要存储新模型的数据库。",
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"modelDatabaseInfo": "选择存储现有/导入模型的数据库。",
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"modelTableInfo": "选择模型表以查看现有/导入的模型的列表。",
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"tableToStoreInfo": "选择符合模型架构的现有表或创建一个新表以存储导入的模型。",
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"models.azureModelsListEmptyDescription": "选择另一个 Azure ML 工作区",
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"models.modelsListEmptyDescription": "选择其他数据库或表",
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"predict.selectColumnTitle": "选择列...",
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"predict.selectDatabaseTitle": "选择数据库",
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"models.selectModelDatabaseTitle": "选择具有模型的数据库",
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"models.importedModelsPageTitle": "选择导入的模型",
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"models.modelSourcePageTitle": "选择模型源类型",
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"models.selectModelsTableMessage": "选择模型表",
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"models.modelImportTargetPageTitle": "选择或输入要将模型导入到的位置",
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"predict.selectTableTitle": "选择表",
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"models.selectModelTableMessage": "选择表",
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"models.selectModelTableTitle": "选择具有模型的表",
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"predict.columnDatabaseInfo": "选择包含数据集的数据库以应用预测。",
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"predict.columnTableInfo": "选择包含数据集的表以应用预测。",
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"extLang.selectedPath": "所选路径",
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"showLessTitle": "收起",
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"showMoreTitle": "显示更多",
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"ml.dataCount": "正在显示 {0} 个模型",
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"predict.columnName": "源列",
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"predict.columnDatabase": "源数据库",
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"models.modelLocalSourceTitle": "源文件",
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"models.modelSourcesTitle": "源位置",
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"predict.columnTable": "源表",
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"tableName": "表",
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"models.modelSchemaIsAcceptedMessage": "表满足要求!",
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"models.invalidImportTableSchemaError": "模型导入不支持表架构。数据库名: {0}，表名: {1}。",
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"extLang.Target": "目标",
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"models.outputColumnDataTypeNotSupportedWarning": "输出列的数据类型与输出字段类型不匹配。",
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"models.columnDataTypeMismatchWarning": "源表列的数据类型与所需的输入字段类型不匹配。",
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"notebookExtensionFailedError": "扩展因其对笔记本扩展的依赖项而未能加载。请检查笔记本扩展的输出日志以获取更多详细信息",
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"mls.installDependencies.confirmInstallPythonPackages": "需要安装以下 Python 包: {0}",
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"mls.installDependencies.confirmInstallRPackages": "安装需要以下 R 包: {0}",
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"models.viewImportModeledForPredictDesc": "模型存储在一个或多个数据库和表中。选择模型数据库和表以查看其中的模型。",
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"mls.requiredPackagesNotInstalled": "未安装所需的包",
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"mlsInstallOdbcDocDesc": "本文档介绍如何安装 Microsoft ODBC Driver for SQL Server。",
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"predict.dataTypeName": "类型",
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"models.localModelPageTitle": "上传模型文件",
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"dashboardLinksTitle": "有用链接",
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"mls.installModelMngDependencies.msgTaskName": "正在验证模型管理依赖项",
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"mls.installPackageMngDependencies.msgTaskName": "正在验证包管理依赖项",
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"models.version": "版本",
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"dashboardVideoLinksTitle": "视频教程",
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"models.viewImportModelsTitle": "查看和导入模型",
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"msgYes": "是",
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"extLang.Local": "localhost",
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"models.unsupportedModelParameterType": "不受支持",
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"models.azureModelSourceDescriptionForPredict": "已选择“Azure 机器学习”。此操作允许从存储在 Azure 机器学习工作区内的模型中进行选择。单击“下一步”以继续。",
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"models.azureModelSourceDescriptionForImport": "已选择“Azure 机器学习”。此操作允许你导入存储在此 SQL 实例中模型数据库内 Azure 机器学习工作区中的模型。单击“下一步”以继续。 ",
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"models.localModelSourceDescriptionForImport": "已选择“文件上传”。这允许你将模型文件从本地计算机导入到此 SQL 实例中的模型数据库中。单击“下一步”以继续。",
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"models.localModelSourceDescriptionForPredict": "已选择“文件上传”。此操作允许从本地计算机上传模型文件。单击“下一步”以继续。",
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"models.importedModelSourceDescriptionForPredict": "已选择“导入的模型”。这使你可以从存储在数据库中模型表内的模型中进行选择。单击“下一步”以继续。"
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},
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"package": {
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"title.configurations": "配置",
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"title.documents": "文档",
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"ml.command.enableExternalScript": "启用外部脚本",
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"ml.enablePython.description": "在数据库中启用 Python 包管理。",
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"ml.enableR.description": "在数据库中启用 R 包管理。",
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"title.endpoints": "终结点",
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"ml.command.importModel": "导入模型",
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"ml.command.dependencies": "安装机器学习依赖项",
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"ml.pythonPath.description": "机器学习使用的预先存在的 Python 安装的本地路径。",
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"ml.rPath.description": "机器学习使用的预先存在的 R 安装的本地路径。",
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"description": "机器学习",
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"displayName": "机器学习",
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"ml.configuration.title": "机器学习配置",
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"ml.command.predictModel": "进行预测",
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"ml.command.manageLanguages": "管理外部语言",
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"ml.command.manageModels": "管理模型",
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"ml.command.managePackages": "管理数据库中的包",
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"title.tasks": "任务"
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}
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}
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} |