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Migrate Movie recommender to 1.0.0-preview #839

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Merged
merged 4 commits into from
Apr 25, 2019
Merged

Migrate Movie recommender to 1.0.0-preview #839

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caf49cc
Upgraded TaxiFare solution to v0.11
prathyusha12345 Mar 4, 2019
8ef7411
dfasf
prathyusha12345 Apr 22, 2019
0d93a17
Migrated Movie Recommender to 1.0.0-preview
prathyusha12345 Apr 22, 2019
7b70b2b
Removed unnecessary code I added for debugging.
prathyusha12345 Apr 22, 2019
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4 changes: 2 additions & 2 deletions machine-learning/tutorials/MovieRecommendation/MovieRecommendation.csproj
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Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,8 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.ML" Version="0.11.0" />
<PackageReference Include="Microsoft.ML.Recommender" Version="0.11.0" />
<PackageReference Include="Microsoft.ML" Version="1.0.0-preview" />
<PackageReference Include="Microsoft.ML.Recommender" Version="0.12.0-preview" />
</ItemGroup>

<ItemGroup>
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15 changes: 6 additions & 9 deletions machine-learning/tutorials/MovieRecommendation/Program.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,6 @@
using System.IO;
using Microsoft.ML;
using Microsoft.ML.Trainers;
using Microsoft.ML.Data;
using Microsoft.Data.DataView;
// </SnippetUsingStatements>

namespace MovieRecommendation
Expand Down Expand Up @@ -43,7 +41,7 @@ static void Main(string[] args)

// Save model
// <SnippetSaveModelMain>
SaveModel(mlContext, model);
SaveModel(mlContext, trainingDataView.Schema, model);
// </SnippetSaveModelMain>
}

Expand Down Expand Up @@ -103,11 +101,11 @@ public static void EvaluateModel(MLContext mlContext, IDataView testDataView, IT
// </SnippetTransform>

// <SnippetEvaluate>
var metrics = mlContext.Regression.Evaluate(prediction, label: DefaultColumnNames.Label, score: DefaultColumnNames.Score);
var metrics = mlContext.Regression.Evaluate(prediction, labelColumnName: "Label", scoreColumnName: "Score");
// </SnippetEvaluate>

// <SnippetPrintMetrics>
Console.WriteLine("Rms: " + metrics.Rms.ToString());
Console.WriteLine("Root Mean Squared Error : " + metrics.RootMeanSquaredError.ToString());
Console.WriteLine("RSquared: " + metrics.RSquared.ToString());
// </SnippetPrintMetrics>
}
Expand All @@ -117,7 +115,7 @@ public static void UseModelForSinglePrediction(MLContext mlContext, ITransformer
{
// <SnippetPredictionEngine>
Console.WriteLine("=============== Making a prediction ===============");
var predictionEngine = model.CreatePredictionEngine<MovieRating, MovieRatingPrediction>(mlContext);
var predictionEngine = mlContext.Model.CreatePredictionEngine<MovieRating, MovieRatingPrediction>(model);
// </SnippetPredictionEngine>

// Create test input & make single prediction
Expand All @@ -140,15 +138,14 @@ public static void UseModelForSinglePrediction(MLContext mlContext, ITransformer
}

//Save model
public static void SaveModel(MLContext mlContext, ITransformer model)
public static void SaveModel(MLContext mlContext, DataViewSchema trainingDataViewSchema, ITransformer model)
{
// Save the trained model to .zip file
// <SnippetSaveModel>
var modelPath = Path.Combine(Environment.CurrentDirectory, "Data", "MovieRecommenderModel.zip");

Console.WriteLine("=============== Saving the model to a file ===============");
using (var fs = new FileStream(modelPath, FileMode.Create, FileAccess.Write, FileShare.Write))
mlContext.Model.Save(model, fs);
mlContext.Model.Save(model, trainingDataViewSchema, modelPath);
// </SnippetSaveModel>
}

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