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-rw-r--r--RhSolutions.ML.Builder/Program.cs42
1 files changed, 42 insertions, 0 deletions
diff --git a/RhSolutions.ML.Builder/Program.cs b/RhSolutions.ML.Builder/Program.cs
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+using Microsoft.ML;
+
+namespace RhSolutions.ML.Builder
+{
+ public class Program
+ {
+ private static string _appPath = Path.GetDirectoryName(Environment.GetCommandLineArgs()[0]) ?? ".";
+ private static MLContext _mlContext = new MLContext(seed: 0);
+ public static void Main()
+ {
+ var _trainDataView = _mlContext.Data.LoadFromTextFile<Product>(
+ Path.Combine(_appPath, "..", "..", "..", "Data", "train.tsv"), hasHeader: true);
+ var pipeline = ProcessData();
+ BuildAndTrainModel(_trainDataView, pipeline, out ITransformer trainedModel);
+ SaveModelAsFile(_mlContext, _trainDataView.Schema, trainedModel);
+ }
+
+ private static IEstimator<ITransformer> ProcessData()
+ {
+ var pipeline = _mlContext.Transforms.Conversion.MapValueToKey(inputColumnName: "Type", outputColumnName: "Label")
+ .Append(_mlContext.Transforms.Text.FeaturizeText(inputColumnName: "Name", outputColumnName: "NameFeaturized"))
+ .Append(_mlContext.Transforms.Concatenate("Features", "NameFeaturized"))
+ .AppendCacheCheckpoint(_mlContext);
+ return pipeline;
+ }
+
+ private static IEstimator<ITransformer> BuildAndTrainModel(IDataView trainingDataView, IEstimator<ITransformer> pipeline, out ITransformer trainedModel)
+ {
+ var trainingPipeline = pipeline.Append(_mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy("Label", "Features"))
+ .Append(_mlContext.Transforms.Conversion.MapKeyToValue("PredictedLabel"));
+
+ trainedModel = trainingPipeline.Fit(trainingDataView);
+ return trainingPipeline;
+ }
+
+ private static void SaveModelAsFile(MLContext mlContext, DataViewSchema trainingDataViewSchema, ITransformer model)
+ {
+ mlContext.Model.Save(model, trainingDataViewSchema,
+ Path.Combine(_appPath, "..", "..", "..", "Models", "model.zip"));
+ }
+ }
+} \ No newline at end of file