first commit

.gitignore

@@ -0,0 +1,343 @@
+## Ignore Visual Studio temporary files, build results, and
+## files generated by popular Visual Studio add-ons.
+##
+## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore
+
+# User-specific files
+*.rsuser
+*.suo
+*.user
+*.userosscache
+*.sln.docstates
+
+# User-specific files (MonoDevelop/Xamarin Studio)
+*.userprefs
+
+# Build results
+[Dd]ebug/
+[Dd]ebugPublic/
+[Rr]elease/
+[Rr]eleases/
+x64/
+x86/
+[Aa][Rr][Mm]/
+[Aa][Rr][Mm]64/
+bld/
+[Bb]in/
+[Oo]bj/
+[Ll]og/
+
+# Visual Studio 2015/2017 cache/options directory
+.vs/
+# Uncomment if you have tasks that create the project's static files in wwwroot
+#wwwroot/
+
+# Visual Studio 2017 auto generated files
+Generated\ Files/
+
+# MSTest test Results
+[Tt]est[Rr]esult*/
+[Bb]uild[Ll]og.*
+
+# NUNIT
+*.VisualState.xml
+TestResult.xml
+
+# Build Results of an ATL Project
+[Dd]ebugPS/
+[Rr]eleasePS/
+dlldata.c
+
+# Benchmark Results
+BenchmarkDotNet.Artifacts/
+
+# .NET Core
+project.lock.json
+project.fragment.lock.json
+artifacts/
+
+# StyleCop
+StyleCopReport.xml
+
+# Files built by Visual Studio
+*_i.c
+*_p.c
+*_h.h
+*.ilk
+*.meta
+*.obj
+*.iobj
+*.pch
+*.pdb
+*.ipdb
+*.pgc
+*.pgd
+*.rsp
+*.sbr
+*.tlb
+*.tli
+*.tlh
+*.tmp
+*.tmp_proj
+*_wpftmp.csproj
+*.log
+*.vspscc
+*.vssscc
+.builds
+*.pidb
+*.svclog
+*.scc
+
+# Chutzpah Test files
+_Chutzpah*
+
+# Visual C++ cache files
+ipch/
+*.aps
+*.ncb
+*.opendb
+*.opensdf
+*.sdf
+*.cachefile
+*.VC.db
+*.VC.VC.opendb
+
+# Visual Studio profiler
+*.psess
+*.vsp
+*.vspx
+*.sap
+
+# Visual Studio Trace Files
+*.e2e
+
+# TFS 2012 Local Workspace
+$tf/
+
+# Guidance Automation Toolkit
+*.gpState
+
+# ReSharper is a .NET coding add-in
+_ReSharper*/
+*.[Rr]e[Ss]harper
+*.DotSettings.user
+
+# JustCode is a .NET coding add-in
+.JustCode
+
+# TeamCity is a build add-in
+_TeamCity*
+
+# DotCover is a Code Coverage Tool
+*.dotCover
+
+# AxoCover is a Code Coverage Tool
+.axoCover/*
+!.axoCover/settings.json
+
+# Visual Studio code coverage results
+*.coverage
+*.coveragexml
+
+# NCrunch
+_NCrunch_*
+.*crunch*.local.xml
+nCrunchTemp_*
+
+# MightyMoose
+*.mm.*
+AutoTest.Net/
+
+# Web workbench (sass)
+.sass-cache/
+
+# Installshield output folder
+[Ee]xpress/
+
+# DocProject is a documentation generator add-in
+DocProject/buildhelp/
+DocProject/Help/*.HxT
+DocProject/Help/*.HxC
+DocProject/Help/*.hhc
+DocProject/Help/*.hhk
+DocProject/Help/*.hhp
+DocProject/Help/Html2
+DocProject/Help/html
+
+# Click-Once directory
+publish/
+
+# Publish Web Output
+*.[Pp]ublish.xml
+*.azurePubxml
+# Note: Comment the next line if you want to checkin your web deploy settings,
+# but database connection strings (with potential passwords) will be unencrypted
+*.pubxml
+*.publishproj
+
+# Microsoft Azure Web App publish settings. Comment the next line if you want to
+# checkin your Azure Web App publish settings, but sensitive information contained
+# in these scripts will be unencrypted
+PublishScripts/
+
+# NuGet Packages
+*.nupkg
+# The packages folder can be ignored because of Package Restore
+**/[Pp]ackages/*
+# except build/, which is used as an MSBuild target.
+!**/[Pp]ackages/build/
+# Uncomment if necessary however generally it will be regenerated when needed
+#!**/[Pp]ackages/repositories.config
+# NuGet v3's project.json files produces more ignorable files
+*.nuget.props
+*.nuget.targets
+
+# Microsoft Azure Build Output
+csx/
+*.build.csdef
+
+# Microsoft Azure Emulator
+ecf/
+rcf/
+
+# Windows Store app package directories and files
+AppPackages/
+BundleArtifacts/
+Package.StoreAssociation.xml
+_pkginfo.txt
+*.appx
+
+# Visual Studio cache files
+# files ending in .cache can be ignored
+*.[Cc]ache
+# but keep track of directories ending in .cache
+!?*.[Cc]ache/
+
+# Others
+ClientBin/
+~$*
+*~
+*.dbmdl
+*.dbproj.schemaview
+*.jfm
+*.pfx
+*.publishsettings
+orleans.codegen.cs
+
+# Including strong name files can present a security risk
+# (https://github.com/github/gitignore/pull/2483#issue-259490424)
+#*.snk
+
+# Since there are multiple workflows, uncomment next line to ignore bower_components
+# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
+#bower_components/
+# ASP.NET Core default setup: bower directory is configured as wwwroot/lib/ and bower restore is true
+**/wwwroot/lib/
+
+# RIA/Silverlight projects
+Generated_Code/
+
+# Backup & report files from converting an old project file
+# to a newer Visual Studio version. Backup files are not needed,
+# because we have git ;-)
+_UpgradeReport_Files/
+Backup*/
+UpgradeLog*.XML
+UpgradeLog*.htm
+ServiceFabricBackup/
+*.rptproj.bak
+
+# SQL Server files
+*.mdf
+*.ldf
+*.ndf
+
+# Business Intelligence projects
+*.rdl.data
+*.bim.layout
+*.bim_*.settings
+*.rptproj.rsuser
+
+# Microsoft Fakes
+FakesAssemblies/
+
+# GhostDoc plugin setting file
+*.GhostDoc.xml
+
+# Node.js Tools for Visual Studio
+.ntvs_analysis.dat
+node_modules/
+
+# Visual Studio 6 build log
+*.plg
+
+# Visual Studio 6 workspace options file
+*.opt
+
+# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
+*.vbw
+
+# Visual Studio LightSwitch build output
+**/*.HTMLClient/GeneratedArtifacts
+**/*.DesktopClient/GeneratedArtifacts
+**/*.DesktopClient/ModelManifest.xml
+**/*.Server/GeneratedArtifacts
+**/*.Server/ModelManifest.xml
+_Pvt_Extensions
+
+# Paket dependency manager
+.paket/paket.exe
+paket-files/
+
+# FAKE - F# Make
+.fake/
+
+# JetBrains Rider
+.idea/
+*.sln.iml
+
+# CodeRush personal settings
+.cr/personal
+
+# Python Tools for Visual Studio (PTVS)
+__pycache__/
+*.pyc
+
+# Cake - Uncomment if you are using it
+# tools/**
+# !tools/packages.config
+
+# Tabs Studio
+*.tss
+
+# Telerik's JustMock configuration file
+*.jmconfig
+
+# BizTalk build output
+*.btp.cs
+*.btm.cs
+*.odx.cs
+*.xsd.cs
+
+# OpenCover UI analysis results
+OpenCover/
+
+# Azure Stream Analytics local run output
+ASALocalRun/
+
+# MSBuild Binary and Structured Log
+*.binlog
+
+# NVidia Nsight GPU debugger configuration file
+*.nvuser
+
+# MFractors (Xamarin productivity tool) working folder
+.mfractor/
+
+# Local History for Visual Studio
+.localhistory/
+
+# BeatPulse healthcheck temp database 
+healthchecksdb
+
+

RatePlanNameAnalysis.Api/Controllers/DiscernController.cs

@@ -0,0 +1,30 @@
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.ML;
+using RatePlanNameAnalysis.Model;
+
+namespace RatePlanNameAnalysis.Api.Controllers
+{
+    [ApiController]
+    [Route("[controller]")]
+    public class DiscernController : ControllerBase
+    {
+
+        public DiscernController()
+        {
+        }
+
+        [HttpPost(Name = "Analysis")]
+        public IActionResult Analysis(string ratePlanName)
+        {
+            // 创建样例数据的单个实例对模型输入数据集的第一行
+            ModelInput input = new ModelInput()
+            {
+                RatePlanName = ratePlanName,
+            };
+            // 获取预测结果
+            var predictionResult = ConsumeModel.Predict(input);
+            //System.IO.File.Delete(filefullname);
+            return Ok(predictionResult.BedTypeName);
+        }
+    }
+}

RatePlanNameAnalysis.Api/Program.cs

@@ -0,0 +1,23 @@
+var builder = WebApplication.CreateBuilder(args);
+
+// Add services to the container.
+
+builder.Services.AddControllers();
+// Learn more about configuring Swagger/OpenAPI at https://aka.ms/aspnetcore/swashbuckle
+builder.Services.AddEndpointsApiExplorer();
+builder.Services.AddSwaggerGen();
+
+var app = builder.Build();
+
+// Configure the HTTP request pipeline.
+if (app.Environment.IsDevelopment())
+{
+    app.UseSwagger();
+    app.UseSwaggerUI();
+}
+
+app.UseAuthorization();
+
+app.MapControllers();
+
+app.Run();

RatePlanNameAnalysis.Api/Properties/launchSettings.json

@@ -0,0 +1,31 @@
+{
+  "$schema": "http://json.schemastore.org/launchsettings.json",
+  "iisSettings": {
+    "windowsAuthentication": false,
+    "anonymousAuthentication": true,
+    "iisExpress": {
+      "applicationUrl": "http://localhost:15456",
+      "sslPort": 0
+    }
+  },
+  "profiles": {
+    "http": {
+      "commandName": "Project",
+      "dotnetRunMessages": true,
+      "launchBrowser": true,
+      "launchUrl": "swagger",
+      "applicationUrl": "http://localhost:5066",
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      }
+    },
+    "IIS Express": {
+      "commandName": "IISExpress",
+      "launchBrowser": true,
+      "launchUrl": "swagger",
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      }
+    }
+  }
+}

RatePlanNameAnalysis.Api/RatePlanNameAnalysis.Api.csproj

@@ -0,0 +1,18 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <InvariantGlobalization>true</InvariantGlobalization>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Swashbuckle.AspNetCore" Version="6.4.0" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\RatePlanNameAnalysis.Model\RatePlanNameAnalysis.Model.csproj" />
+  </ItemGroup>
+
+</Project>

RatePlanNameAnalysis.Api/appsettings.Development.json

@@ -0,0 +1,8 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning"
+    }
+  }
+}

RatePlanNameAnalysis.Api/appsettings.json

@@ -0,0 +1,9 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning"
+    }
+  },
+  "AllowedHosts": "*"
+}

RatePlanNameAnalysis.ConsoleApp/BedTypeData.cs

@@ -0,0 +1,25 @@
+// <SnippetAddUsings>
+using Microsoft.ML.Data;
+// </SnippetAddUsings>
+
+namespace RatePlanNameAnalysis
+{
+    // <SnippetDeclareTypes>
+    public class RatePlanNameAnalysisData
+    {
+        [LoadColumn(0)]
+        public string BedTypeID { get; set; }
+        [LoadColumn(1)]
+        public string RatePlanName { get; set; }
+        [LoadColumn(2)]
+        public string BedTypeName { get; set; }
+
+    }
+
+    public class BedTypePrediction
+    {
+        [ColumnName("PredictedLabel")]
+        public string BedTypeName;
+    }
+    // </SnippetDeclareTypes>
+}

RatePlanNameAnalysis.ConsoleApp/Data/RatePlanNameAnalysis_test.csv

@@ -0,0 +1,101 @@
+BedTypeID,RatePlanName,BedTypeName
+73,deluxe king room with river view - high floor,1 King
+73,deluxe king room with balcony and river view,1 King
+0,deluxe family of 5 room,Unknown
+0,deluxe family of 6 room,Unknown
+1,social deluxe times square doubles   single occupancy   breakfast included in the price,1 Single
+0,",1 bedroom view apartment with balcony",Unknown
+52,2 twin club regent city view,2 Single
+52,harbor twin room (smoking),2 Single
+73,"club room, 1 king bed (top floor) 1 king bed",1 King
+0,"suite, ensuite (residential triple)",Unknown
+254,"suite, ensuite (residential triple) (1 queen bed and 1 double futon)",1 Double 1 Queen
+2,"standard double room,shared bathroom,residential",1 Double
+6,"quadruple room, ensuite (residential deluxe) (2 double beds)",2 Double
+2,residential double bed suite (ensuite),1 Double
+0,"suite, ensuite (residential quad)",Unknown
+6,"quadruple room, ensuite (residential standard)(2 double beds)",2 Double
+2,residential double bed room shared bathroom,1 Double
+86,"quadruple room, ensuite (residential deluxe)(2 queen beds)",2 Queen
+0,deluxe accessible triple room,Unknown
+48,"suite, ensuite (residential quad) (2 double beds and 1 double futon)",3 Double
+0,family suite 1 bedroom kitchenette,Unknown
+0,raden saleh suite non-refundable,Unknown
+0,raden saleh suite - non-refundable,Unknown
+173,"signature suite, 2 bedrooms- 1 king bed and 1 queen bed",1 King 1 Queen
+0,family room - court view,Unknown
+73,"suite, 1 bedroom (on the avenue)(1 king bed)",1 King
+0,the hadiprana villa - non-refundable - breakfast included in the price,Unknown
+0,one bedroom club pool villa non refundable,Unknown
+0,deluxe premier  - deluxe premier rb,Unknown
+0,the hadiprana villa with club benefits non-refundable,Unknown
+0,club 1 bedroom non refundable,Unknown
+2,double room 1 bedroom club non refundable,1 Double
+0,one bedroom pool villa with club benefits non-refundable,Unknown
+0,suite room with private pool non-refundable,Unknown
+0,suite room premiere with jungle view non-refundable,Unknown
+73,superior deluxe king room - breakfast included in the price,1 King
+52,superior deluxe twin room - non-refundable,2 Single
+52,superior deluxe twin room - breakfast included in the price,2 Single
+0,zamrud suite non-refundable,Unknown
+0,executive suite - non smoking non refundable,Unknown
+0,arum villa (mountain or garden view) non-refundable,Unknown
+0,suite room with jungle view non-refundable,Unknown
+0,plantation villa - non-refundable - breakfast included in the price,Unknown
+0,plantation villa non-refundable,Unknown
+73,gardner king room w/ balcony [no extrabed],1 King
+0,executive suite with bosphorus view lounge accessible,Unknown
+0,family apartment for 4 adults - no refundable,Unknown
+2,suite - double - de luxe - no refundable,1 Double
+2,double deluxe (undefined-deluxe pool access room. bed & breakfast. standard rate),1 Double
+52,suite - twin - de luxe - no refundable,2 Single
+0,deluxe one-bedroom villa with private pool and bathtub - breakfast included in the price,Unknown
+0,deluxe villa 1 bedroom pool view,Unknown
+0,penthouse suite - two bedrooms & skyline(city view),Unknown
+0,junior suite lounge access(city view),Unknown
+0,executive room lounge access(city view),Unknown
+6,guest room 2 double airport view,2 Double
+73,guest room 1 king airport view,1 King
+0,five bedroom villa with private pool and bathtub - breakfast included in the price,Unknown
+52,special offer - two deluxe double or twin rooms - breakfast included in the price,2 Single
+0,2qn mobility/hearing access w/tub nonsmoking vis firealrm/door/phn alrt/50-in hdtv microwv/fridge/free wi-fi/hot brkfst included,Unknown
+166,8 bedrooms pool villa (interconnecting of two units 3 bedroom villas and 1 unit of 2 bedroom villa)(8 king beds),8 King
+0,quadruple room with private bathroom and kitchenette,Unknown
+0,embassy suite 1 bed non refundable,Unknown
+2,deluxe suite double(1 double bed),1 Double
+0,suite (suite-harris suite),Unknown
+0,1 double bed or 2 double beds and 2 queen beds or 2 double beds,Unknown
+86,deluxe room (garden)(2 queen beds),2 Queen
+0,the layonsari suite with pool view - breakfast included in the price,Unknown
+86,premium villa(2 queen beds),2 Queen
+0,the layonsari suite non refundable,Unknown
+274,grand villa(2 queen beds and 1 large twin bed),2 Queen 2 Single
+86,suite garden(2 queen beds),2 Queen
+0,two bedroom villa with private pool - no refundable,Unknown
+86,deluxe room (rooftop)(2 queen beds),2 Queen
+0,pool villa premium vip,Unknown
+254,"deluxe room, annex building(1 queen bed and 1 double futon)",1 Double 1 Queen
+188,grand suite(3 queen beds),3 Queen
+0,[sugga let's play] deluxe,Unknown
+73,"presidential suite, 1 king bed, kitchen, sea view",1 King
+0,eight bedroom villa with private pool and bathtub - non-refundable - breakfast included in the price,Unknown
+0,embassy - suite room - non-refundable - breakfast included in the price,Unknown
+0,nine bedrooms connecting villa non refundable,Unknown
+0,8 bedrooms pool villa (interconnecting of two units 3 bedroom villas and 1 unit of 2 bedroom villa) non-refundable,Unknown
+52,deluxe suite twin room - non-refundable - breakfast included in the price,2 Single
+0,not refundable.1 x villa 2 rooms (3 pers),Unknown
+0,1 x villa 2 rooms (3 pers),Unknown
+73,signature suite club access  king bed  separate lounge  city view high floor  luxury amenities   non refundable   breakfast included in the price,1 King
+0,studio swimout,Unknown
+52,deluxe suite twin bed(nature view),2 Single
+73,1 king bed w/walk in shower free wi-fi/breakfast included/55 in hdtv mini-refrigerator,1 King
+52,special offer - two deluxe double or twin rooms - non-refundable - breakfast included in the price,2 Single
+118,villa  3 bedrooms  private pool(3 king beds),3 King
+0,villa - honeymoon non refundable,Unknown
+6,special offer - two deluxe rooms(2 double beds),2 Double
+0,two bedrooms pool villa non refundable,Unknown
+0,deluxe 2 beds suite non refundable,Unknown
+0,embassy suite one bedroom - no refundable,Unknown
+0,deluxe ocean villa non refundable,Unknown
+0,villa 6 bedroom  bathtub,Unknown
+0,harris unique room with pool access - no refundable,Unknown

RatePlanNameAnalysis.ConsoleApp/Program.cs

@@ -0,0 +1,210 @@
+using System;
+using System.IO;
+using System.Linq;
+using Microsoft.ML;
+
+namespace RatePlanNameAnalysis
+{
+    class Program
+    {
+        private static string _appPath => Path.GetDirectoryName(Environment.GetCommandLineArgs()[0]);
+        private static string _trainDataPath => Path.Combine(_appPath, "..", "..", "..", "Data", "RatePlanNameAnalysis_train.csv");
+        private static string _testDataPath => Path.Combine(_appPath, "..", "..", "..", "Data", "RatePlanNameAnalysis_test.csv");
+        private static string _modelPath => Path.Combine(_appPath, "..", "..", "..", "Models", "model.zip");
+
+        private static MLContext _mlContext;
+        private static PredictionEngine<RatePlanNameAnalysisData, BedTypePrediction> _predEngine;
+        private static ITransformer _trainedModel;
+        static IDataView _trainingDataView;
+        // </SnippetDeclareGlobalVariables>
+        static void Main(string[] args)
+        {
+            // Create MLContext to be shared across the model creation workflow objects
+            // Set a random seed for repeatable/deterministic results across multiple trainings.
+            // <SnippetCreateMLContext>
+            _mlContext = new MLContext(seed: 0);
+            // </SnippetCreateMLContext>
+
+            // STEP 1: Common data loading configuration
+            // CreateTextReader<BedType>(hasHeader: true) - Creates a TextLoader by inferencing the dataset schema from the BedType data model type.
+            // .Read(_trainDataPath) - Loads the training text file into an IDataView (_trainingDataView) and maps from input columns to IDataView columns.
+            Console.WriteLine($"=============== Loading Dataset  ===============");
+
+            // <SnippetLoadTrainData>
+            var loader = _mlContext.Data.CreateTextLoader<RatePlanNameAnalysisData>(separatorChar: ',',
+                hasHeader: true,
+                allowQuoting: true); // 支持引号
+            _trainingDataView = loader.Load(_trainDataPath);
+            
+            //_trainingDataView = _mlContext.Data.LoadFromTextFile<RatePlanNameAnalysisData>(_trainDataPath, separatorChar: ',', hasHeader: true);
+            // </SnippetLoadTrainData>
+
+            Console.WriteLine($"=============== Finished Loading Dataset  ===============");
+
+            // <SnippetSplitData>
+            //   var (trainData, testData) = _mlContext.MulticlassClassification.TrainTestSplit(_trainingDataView, testFraction: 0.1);
+            // </SnippetSplitData>
+
+            // <SnippetCallProcessData>
+            var pipeline = ProcessData();
+            // </SnippetCallProcessData>
+
+            // <SnippetCallBuildAndTrainModel>
+            var trainingPipeline = BuildAndTrainModel(_trainingDataView, pipeline);
+            // </SnippetCallBuildAndTrainModel>
+
+            // <SnippetCallEvaluate>
+            Evaluate(_trainingDataView.Schema);
+            // </SnippetCallEvaluate>
+
+            // <SnippetCallPredictBedType>
+            PredictBedType();
+            // </SnippetCallPredictBedType>
+        }
+
+        public static IEstimator<ITransformer> ProcessData()
+        {
+            Console.WriteLine($"=============== Processing Data ===============");
+            // STEP 2: Common data process configuration with pipeline data transformations
+            // <SnippetMapValueToKey>
+            var pipeline = _mlContext.Transforms.Conversion.MapValueToKey(inputColumnName: "BedTypeName", outputColumnName: "Label")
+                            // </SnippetMapValueToKey>
+                            // <SnippetFeaturizeText>
+                            .Append(_mlContext.Transforms.Text.FeaturizeText(inputColumnName: "RatePlanName", outputColumnName: "RatePlanNameFeaturized"))
+                            // </SnippetFeaturizeText>
+                            // <SnippetConcatenate>
+                            .Append(_mlContext.Transforms.Concatenate("Features", "RatePlanNameFeaturized"))
+                            // </SnippetConcatenate>
+                            //Sample Caching the DataView so estimators iterating over the data multiple times, instead of always reading from file, using the cache might get better performance.
+                            // <SnippetAppendCache>
+                            .AppendCacheCheckpoint(_mlContext);
+            // </SnippetAppendCache>
+
+            Console.WriteLine($"=============== Finished Processing Data ===============");
+
+            // <SnippetReturnPipeline>
+            return pipeline;
+            // </SnippetReturnPipeline>
+        }
+
+        public static IEstimator<ITransformer> BuildAndTrainModel(IDataView trainingDataView, IEstimator<ITransformer> pipeline)
+        {
+            // STEP 3: Create the training algorithm/trainer
+            // Use the multi-class SDCA algorithm to predict the label using features.
+            //Set the trainer/algorithm and map label to value (original readable state)
+            // <SnippetAddTrainer>
+            var trainingPipeline = pipeline.Append(_mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy("Label", "Features"))
+                    .Append(_mlContext.Transforms.Conversion.MapKeyToValue("PredictedLabel"));
+            // </SnippetAddTrainer>
+
+            // STEP 4: Train the model fitting to the DataSet
+            Console.WriteLine($"=============== Training the model  ===============");
+
+            // <SnippetTrainModel>
+            _trainedModel = trainingPipeline.Fit(trainingDataView);
+            // </SnippetTrainModel>
+            Console.WriteLine($"=============== Finished Training the model Ending time: {DateTime.Now.ToString()} ===============");
+
+            // (OPTIONAL) Try/test a single prediction with the "just-trained model" (Before saving the model)
+            Console.WriteLine($"=============== Single Prediction just-trained-model ===============");
+
+            // Create prediction engine related to the loaded trained model
+            // <SnippetCreatePredictionEngine1>
+            _predEngine = _mlContext.Model.CreatePredictionEngine<RatePlanNameAnalysisData, BedTypePrediction>(_trainedModel);
+            // </SnippetCreatePredictionEngine1>
+            // <SnippetCreateTestBedType1>
+            RatePlanNameAnalysisData BedType = new RatePlanNameAnalysisData()
+            {
+                RatePlanName = "double suite (double bed) (double king size bed, terrace)"
+            };
+            // </SnippetCreateTestBedType1>
+
+            // <SnippetPredict>
+            var prediction = _predEngine.Predict(BedType);
+            // </SnippetPredict>
+
+            // <SnippetOutputPrediction>
+            Console.WriteLine($"=============== Single Prediction just-trained-model - Result: {prediction.BedTypeName} ===============");
+            // </SnippetOutputPrediction>
+
+            // <SnippetReturnModel>
+            return trainingPipeline;
+            // </SnippetReturnModel>
+        }
+
+        public static void Evaluate(DataViewSchema trainingDataViewSchema)
+        {
+            // STEP 5:  Evaluate the model in order to get the model's accuracy metrics
+            Console.WriteLine($"=============== Evaluating to get model's accuracy metrics - Starting time: {DateTime.Now.ToString()} ===============");
+
+            //Load the test dataset into the IDataView
+            // <SnippetLoadTestDataset>
+            
+            // 创建数据加载器
+            var loader = _mlContext.Data.CreateTextLoader<RatePlanNameAnalysisData>(separatorChar: ',',
+            hasHeader: true,
+            allowQuoting: true); // 支持引号
+
+            // 加载数据
+             var testDataView = loader.Load(_testDataPath);
+            
+            // var testDataView = _mlContext.Data.LoadFromTextFile<RatePlanNameAnalysisData>(_testDataPath, separatorChar: ',', hasHeader: true);
+            // </SnippetLoadTestDataset>
+
+            //Evaluate the model on a test dataset and calculate metrics of the model on the test data.
+            // <SnippetEvaluate>
+            var testMetrics = _mlContext.MulticlassClassification.Evaluate(_trainedModel.Transform(testDataView));
+            // </SnippetEvaluate>
+
+            Console.WriteLine($"=============== Evaluating to get model's accuracy metrics - Ending time: {DateTime.Now.ToString()} ===============");
+            // <SnippetDisplayMetrics>
+            Console.WriteLine($"*************************************************************************************************************");
+            Console.WriteLine($"*       Metrics for Multi-class Classification model - Test Data     ");
+            Console.WriteLine($"*------------------------------------------------------------------------------------------------------------");
+            Console.WriteLine($"*       MicroAccuracy:    {testMetrics.MicroAccuracy:0.###}");
+            Console.WriteLine($"*       MacroAccuracy:    {testMetrics.MacroAccuracy:0.###}");
+            Console.WriteLine($"*       LogLoss:          {testMetrics.LogLoss:#.###}");
+            Console.WriteLine($"*       LogLossReduction: {testMetrics.LogLossReduction:#.###}");
+            Console.WriteLine($"*************************************************************************************************************");
+            // </SnippetDisplayMetrics>
+
+            // Save the new model to .ZIP file
+            // <SnippetCallSaveModel>
+            SaveModelAsFile(_mlContext, trainingDataViewSchema, _trainedModel);
+            // </SnippetCallSaveModel>
+        }
+
+        public static void PredictBedType()
+        {
+            // <SnippetLoadModel>
+            ITransformer loadedModel = _mlContext.Model.Load(_modelPath, out var modelInputSchema);
+            // </SnippetLoadModel>
+
+            // <SnippetAddTestBedType>
+            RatePlanNameAnalysisData singleBedType = new RatePlanNameAnalysisData() { RatePlanName = "double suite (double bed) (double king size bed, terrace)" };
+            // </SnippetAddTestBedType>
+
+            //Predict label for single hard-coded BedType
+            // <SnippetCreatePredictionEngine>
+            _predEngine = _mlContext.Model.CreatePredictionEngine<RatePlanNameAnalysisData, BedTypePrediction>(loadedModel);
+            // </SnippetCreatePredictionEngine>
+
+            // <SnippetPredictBedType>
+            var prediction = _predEngine.Predict(singleBedType);
+            // </SnippetPredictBedType>
+
+            // <SnippetDisplayResults>
+            Console.WriteLine($"=============== Single Prediction - Result: {prediction.BedTypeName} ===============");
+            // </SnippetDisplayResults>
+        }
+
+        private static void SaveModelAsFile(MLContext mlContext, DataViewSchema trainingDataViewSchema, ITransformer model)
+        {
+            // <SnippetSaveModel>
+            mlContext.Model.Save(model, trainingDataViewSchema, _modelPath);
+            // </SnippetSaveModel>
+
+            Console.WriteLine("The model is saved to {0}", _modelPath);
+        }
+    }
+}

RatePlanNameAnalysis.ConsoleApp/RatePlanNameAnalysis.ConsoleApp.csproj

@@ -0,0 +1,25 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net8.0</TargetFramework>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
+    <LangVersion>latest</LangVersion>
+  </PropertyGroup>
+  <ItemGroup>
+    <Folder Include="Data\" />
+    <Folder Include="Models\" />
+  </ItemGroup>
+  <ItemGroup>
+    <PackageReference Include="Microsoft.ML" Version="3.0.1" />
+    <PackageReference Include="Microsoft.ML.FastTree" Version="2.0.0" />
+  </ItemGroup>
+  <ItemGroup>
+    <None Update="Data\issues_test.tsv">
+      <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+    </None>
+    <None Update="Data\issues_train.tsv">
+      <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+</Project>

RatePlanNameAnalysis.Model/ConsumeModel.cs

@@ -0,0 +1,37 @@
+// This file was auto-generated by ML.NET Model Builder. 
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using Microsoft.ML;
+using System.IO;
+
+namespace RatePlanNameAnalysis.Model
+{
+    public class ConsumeModel
+    {
+        private static Lazy<PredictionEngine<ModelInput, ModelOutput>> PredictionEngine = new Lazy<PredictionEngine<ModelInput, ModelOutput>>(CreatePredictionEngine);
+
+        // For more info on consuming ML.NET models, visit https://aka.ms/mlnet-consume
+        // Method for consuming model in your app
+        public static ModelOutput Predict(ModelInput input)
+        {
+            ModelOutput result = PredictionEngine.Value.Predict(input);
+            return result;
+        }
+
+        public static PredictionEngine<ModelInput, ModelOutput> CreatePredictionEngine()
+        {
+            // Create new MLContext
+            MLContext mlContext = new MLContext();
+
+            // Load model & create prediction engine
+            string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "..", "RatePlanNameAnalysis.ConsoleApp", "Models", "model.zip");
+            ITransformer loadedModel = mlContext.Model.Load(modelPath, out var modelInputSchema);
+            var predEngine = mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(loadedModel);
+
+            return predEngine;
+        }
+    }
+}

RatePlanNameAnalysis.Model/ModelInput.cs

@@ -0,0 +1,19 @@
+// This file was auto-generated by ML.NET Model Builder. 
+
+using Microsoft.ML.Data;
+
+namespace RatePlanNameAnalysis.Model
+{
+    public class ModelInput
+    {
+        [ColumnName("BedTypeID"), LoadColumn(0)]
+        public string BedTypeID { get; set; }
+
+        [ColumnName("RatePlanName"), LoadColumn(1)]
+        public string RatePlanName { get; set; }
+
+        [ColumnName("BedTypeName"), LoadColumn(2)]
+        public string BedTypeName { get; set; }
+
+    }
+}

RatePlanNameAnalysis.Model/ModelOutput.cs

@@ -0,0 +1,17 @@
+// This file was auto-generated by ML.NET Model Builder. 
+
+using System;
+using Microsoft.ML.Data;
+
+namespace RatePlanNameAnalysis.Model
+{
+    public class ModelOutput
+    {
+        // ColumnName attribute is used to change the column name from
+        // its default value, which is the name of the field.
+        [ColumnName("PredictedLabel")]
+        public string BedTypeName { get; set; }
+
+        public float[] Score { get; set; }
+    }
+}

RatePlanNameAnalysis.Model/RatePlanNameAnalysis.Model.csproj

@@ -0,0 +1,13 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.ML" Version="3.0.1" />
+  </ItemGroup>
+
+</Project>

RatePlanNameAnalysis.sln

@@ -0,0 +1,37 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.8.34525.116
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RatePlanNameAnalysis.Api", "RatePlanNameAnalysis.Api\RatePlanNameAnalysis.Api.csproj", "{381B1DB8-6FAD-48BC-B324-5557B1E79060}"
+EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RatePlanNameAnalysis.Model", "RatePlanNameAnalysis.Model\RatePlanNameAnalysis.Model.csproj", "{B7F4729C-A7B0-40F9-B5E9-E0D8DE35AFA9}"
+EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "RatePlanNameAnalysis.ConsoleApp", "RatePlanNameAnalysis.ConsoleApp\RatePlanNameAnalysis.ConsoleApp.csproj", "{E5049E66-2248-42E0-B1BF-1769EE49AC6C}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{381B1DB8-6FAD-48BC-B324-5557B1E79060}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{381B1DB8-6FAD-48BC-B324-5557B1E79060}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{381B1DB8-6FAD-48BC-B324-5557B1E79060}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{381B1DB8-6FAD-48BC-B324-5557B1E79060}.Release|Any CPU.Build.0 = Release|Any CPU
+		{B7F4729C-A7B0-40F9-B5E9-E0D8DE35AFA9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{B7F4729C-A7B0-40F9-B5E9-E0D8DE35AFA9}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{B7F4729C-A7B0-40F9-B5E9-E0D8DE35AFA9}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{B7F4729C-A7B0-40F9-B5E9-E0D8DE35AFA9}.Release|Any CPU.Build.0 = Release|Any CPU
+		{E5049E66-2248-42E0-B1BF-1769EE49AC6C}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{E5049E66-2248-42E0-B1BF-1769EE49AC6C}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{E5049E66-2248-42E0-B1BF-1769EE49AC6C}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{E5049E66-2248-42E0-B1BF-1769EE49AC6C}.Release|Any CPU.Build.0 = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {758D48D0-1665-4B5D-835C-668857EC221B}
+	EndGlobalSection
+EndGlobal