C# (CSharp) Predictor.BuildAndTrainModel Exemples

Exemple #1

        public void Test_Evaluate_Prediction_Model_Score_Amazon()
        {
            _output.WriteLine("Test_Evaluate_Prediction_Model_Score_Amazon()...");

            var predictor = new Predictor();

            predictor.LoadTrainData(Path.Combine(_dataFolderPath, "amazon_cells_labelled.txt"));
            predictor.BuildAndTrainModel();
            var metrics = predictor.EvaluateModelMetrics();

            _output.WriteLine($"Model Metrics - Accuracy:{metrics.Accuracy:P2}, AreaUnderRocCurve:{metrics.AreaUnderRocCurve:P2}, F1Score:{metrics.F1Score:P2}");

            Assert.InRange(metrics.Accuracy, 0.5, 0.95);

            _output.WriteLine("...Test_Evaluate_Prediction_Model_Score_Amazon() DONE.");
        }

Exemple #2

        public void Test_Predict_Output_Positive_IMDB()
        {
            _output.WriteLine("Test_Predict_Output_Positive_IMDB()...");

            const string INPUT_DATA = "amazing movie, very touching and deep";

            var predictor = new Predictor();

            predictor.LoadTrainData(Path.Combine(_dataFolderPath, "imdb_labelled.txt"));
            predictor.BuildAndTrainModel();

            var predictionTuple = predictor.Predict(INPUT_DATA);

            _output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");

            Assert.True(predictionTuple.prediction);

            _output.WriteLine("...Test_Predict_Output_Positive_IMDB() DONE.");
        }

Exemple #3

        public void Test_Predict_Output_Negative_Yelp()
        {
            _output.WriteLine("Test_Predict_Output_Negative_Yelp()...");

            const string INPUT_DATA = "This was quite a horrible meal";

            var predictor = new Predictor();

            predictor.LoadTrainData(Path.Combine(_dataFolderPath, "yelp_labelled.txt"));
            predictor.BuildAndTrainModel();

            var predictionTuple = predictor.Predict(INPUT_DATA);

            _output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");

            Assert.False(predictionTuple.prediction);

            _output.WriteLine("...Test_Predict_Output_Negative_Yelp() DONE.");
        }

Exemple #4

        public void Test_Predict_Output_Negative_Amazon()
        {
            _output.WriteLine("Test_Predict_Output_Negative_Amazon()...");

            const string INPUT_DATA = "this smartphone does not work at all, and is heavy too";

            var predictor = new Predictor();

            predictor.LoadTrainData(Path.Combine(_dataFolderPath, "amazon_cells_labelled.txt"));
            predictor.BuildAndTrainModel();

            var predictionTuple = predictor.Predict(INPUT_DATA);

            _output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");

            Assert.False(predictionTuple.prediction);

            _output.WriteLine("...Test_Predict_Output_Negative_Amazon() DONE.");
        }