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Revize 66c3e0df

Přidáno uživatelem Roman Kalivoda před téměř 4 roky(ů)

re #8598

Update Server/ServerApp/ServerApp.csproj
fixed corrupted dependencies
working simple classification

Zobrazit rozdíly:

Server/ServerApp/Predictor/IPredictor.cs
13 13 

  		




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        void Fit(IEnumerable<ModelInput> trainInput);


  		




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        ModelOutput Predict(IEnumerable<ModelInput> input);


  		




  
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        String[] Predict(IEnumerable<ModelInput> input);


  		




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    }


  		




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}


  		












  

    
      Server/ServerApp/Predictor/ModelInput.cs
    
  





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{


  		




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    public class ModelInput


  		




  6
  6
  
    
    {


  		




  7
  
  
    
        [ColumnName("label"), LoadColumn(0)]


  		




  8
  
  
    
        public string LabelCol { get; set; }


  		




  
  7
  
    
        [ColumnName("Label"), LoadColumn(0)]


  		




  
  8
  
    
        public string Label { get; set; }


  		




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        [ColumnName("temp"), LoadColumn(1)]


  		




  12
  
  
    
        public double Col1 { get; set; }


  		




  
  12
  
    
        public float Temp { get; set; }


  		




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        //[ColumnName("date"), LoadColumn(2)]


  		




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        //public string Col2 { get; set; }


  		












  

    
      Server/ServerApp/Predictor/ModelOutput.cs
    
  





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{


  		




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    public class ModelOutput


  		




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    {


  		




  8
  
  
    
        [ColumnName("PredictedLabel")]


  		




  
  8
  
    
        [ColumnName("prediction")]


  		




  9
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        public String Prediction { get; set; }


  		




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        public float[] Score { get; set; }


  		




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      Server/ServerApp/Predictor/NaiveBayesClassifier.cs
    
  





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        public IEnumerable<ModelInput> ExtractModelInput(List<WeatherInfo> weatherInfos, List<ActivityInfo> activityInfos)


  		




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        {


  		




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            return weatherInfos.Select(e => new ModelInput(){


  		




  27
  
  
    
                Col1 = e.temp,


  		




  28
  
  
    
                LabelCol = "Empty",


  		




  
  27
  
    
                Temp = (float)e.temp,


  		




  
  28
  
    
                Label = e.temp > 15.0 ? "Full" : "Empty",


  		




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            }).ToList();


  		




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        }


  		




  31
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        public void Fit(IEnumerable<ModelInput> trainingData)


  		




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        {


  		




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            IDataView trainingDataView = mlContext.Data.LoadFromEnumerable(trainingData);


  		




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            var dataProcessPipeline = mlContext.Transforms.Conversion.MapValueToKey("label", "label")


  		




  36
  
  
    
                .Append(mlContext.Transforms.CopyColumns("Features", "temp"))


  		




  37
  
  
    
                .Append(mlContext.Transforms.NormalizeMinMax("Features", "Features"));


  		




  
  35
  
    
            var dataProcessPipeline = mlContext.Transforms.Conversion.MapValueToKey(nameof(ModelInput.Label))


  		




  
  36
  
    
                .Append(mlContext.Transforms.Concatenate("Features", new[] { "temp" })


  		




  
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                .Append(mlContext.Transforms.NormalizeMinMax("Features", "Features")));


  		




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            var trainer = mlContext.MulticlassClassification.Trainers.NaiveBayes();


  		




  39
  
  
    
            var traininingPipeline = dataProcessPipeline.Append(trainer);


  		




  
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            var traininingPipeline = dataProcessPipeline.Append(trainer)


  		




  
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                .Append(mlContext.Transforms.Conversion.MapKeyToValue("prediction", "PredictedLabel"));


  		




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            this.model = traininingPipeline.Fit(trainingDataView);


  		




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        }


  		




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        public ModelOutput Predict(IEnumerable<ModelInput> input)


  		




  
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        public String[] Predict(IEnumerable<ModelInput> input)


  		




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        {


  		




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            var data = mlContext.Data.LoadFromEnumerable(input);


  		




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            var prediction = model.Transform(data);


  		




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            var result = mlContext.Data.CreateEnumerable<ModelOutput>(prediction, reuseRowObject: false);


  		




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            return (ModelOutput)result;


  		




  
  49
  
    
            IDataView result = model.Transform(data);


  		




  
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            String[] prediction = result.GetColumn<String>("prediction").ToArray();


  		




  
  51
  
    

  		




  
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            return prediction;


  		




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        }


  		




  52
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    }


  		




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}


  		












  

    
      Server/ServerApp/Program.cs
    
  





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            NaiveBayesClassifier naiveBayesClassifier = new NaiveBayesClassifier();


  		




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            IEnumerable<ModelInput> modelInput = naiveBayesClassifier.ExtractModelInput(p.weatherList, p.jisList);


  		




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            naiveBayesClassifier.Fit(modelInput);


  		




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            var testData = new ModelInput()


  		




  
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            List<ModelInput> dataList = new List<ModelInput>()


  		




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            {


  		




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                Col1 = -40,


  		




  
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                new ModelInput()


  		




  
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                {


  		




  
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                    Temp = -40,


  		




  
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                }


  		




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            };


  		




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            List<ModelInput> dataList = new List<ModelInput>();


  		




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            dataList.Add(testData);


  		




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            var result = naiveBayesClassifier.Predict(dataList);


  		




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            Console.WriteLine($"Prediction: {result.Prediction}");


  		




  
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            Console.WriteLine($"Predictions: ");


  		




  
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            foreach(var item in result)


  		




  
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            {


  		




  
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                Console.WriteLine(item.ToString());


  		




  
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            }


  		




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            Console.ReadLine();


  		




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        }


  		












  

    
      Server/ServerApp/ServerApp.csproj
    
  





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    <LangVersion>7.3</LangVersion>


  		




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    <ErrorReport>prompt</ErrorReport>


  		




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    <Prefer32Bit>true</Prefer32Bit>


  		




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	<RestoreProjectStyle>PackageReference</RestoreProjectStyle>


  		




  
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    <RestoreProjectStyle>PackageReference</RestoreProjectStyle>


  		




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  </PropertyGroup>


  		




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  <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Release|x64'">


  		




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    <OutputPath>bin\x64\Release\</OutputPath>


  		




  ......




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    <ErrorReport>prompt</ErrorReport>


  		




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    <Prefer32Bit>true</Prefer32Bit>


  		




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  </PropertyGroup>


  		




  
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  <PropertyGroup>


  		




  
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    <StartupObject>ServerApp.Program</StartupObject>


  		




  
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  </PropertyGroup>


  		




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  <ItemGroup>


  		




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    <Reference Include="Microsoft.ML, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.Core, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.Core.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.CpuMath, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.CpuMath.1.5.5\lib\netstandard2.0\Microsoft.ML.CpuMath.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.Data, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.Data.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.DataView, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.DataView.1.5.5\lib\netstandard2.0\Microsoft.ML.DataView.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.KMeansClustering, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.KMeansClustering.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.PCA, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.PCA.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.StandardTrainers, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.StandardTrainers.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Microsoft.ML.Transforms, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Microsoft.ML.1.5.5\lib\netstandard2.0\Microsoft.ML.Transforms.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="Newtonsoft.Json, Version=10.0.0.0, Culture=neutral, PublicKeyToken=30ad4fe6b2a6aeed, processorArchitecture=MSIL">


  		




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      <HintPath>..\packages\Newtonsoft.Json.10.0.3\lib\net45\Newtonsoft.Json.dll</HintPath>


  		




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    </Reference>


  		




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    <Reference Include="System" />


  		




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    <Reference Include="System.Core" />


  		




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    <Reference Include="System.Xml.Linq" />


  		




  ......




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    </None>


  		




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    <None Include="packages.config" />


  		




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  </ItemGroup>


  		




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  <ItemGroup />


  		




  
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  <ItemGroup>


  		




  
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    <PackageReference Include="Microsoft.ML">


  		




  
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      <Version>1.5.2</Version>


  		




  
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    </PackageReference>


  		




  
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    <PackageReference Include="System.Runtime.CompilerServices.Unsafe">


  		




  
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      <Version>5.0.0</Version>


  		




  
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    </PackageReference>


  		




  
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  </ItemGroup>


  		




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  <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />


  		




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  <Target Name="EnsureNuGetPackageBuildImports" BeforeTargets="PrepareForBuild">


  		




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    <PropertyGroup>


  		












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