public void PostMultiple_positiveText_True()
{
//Arrange
MLContext mlContext = new MLContext();
DataViewSchema predictionPipelineSchema;
PredictionEngine <SentimentData, SentimentPrediction> predictionEngine = mlContext
.Model.CreatePredictionEngine <SentimentData, SentimentPrediction>(mlContext
.Model.Load("C:/Users/iRebeca/facultate/.NET/.NetProject/TSense/Tests/MlModels/sentiment_model.zip", out predictionPipelineSchema));
SentimentController sentiment = new SentimentController(predictionEngine);
SentimentData sentimentData = new SentimentData();
sentimentData.SentimentText = "It was great";
List <SentimentData> sentiments = new List <SentimentData>()
{
sentimentData
};
//Act
var result = (OkObjectResult)sentiment.PostMultiple(sentiments).Result;
var prediction = (ML_Server.DataModels.Sentiment)result.Value;
//Assert
Assert.IsInstanceOfType(result.Value, typeof(ML_Server.DataModels.Sentiment));
Assert.AreEqual(true, prediction.Prediction, prediction.Probability.ToString());
}
public void Post_negativeText_False()
{
//Arrange
MLContext mlContext = new MLContext();
DataViewSchema predictionPipelineSchema;
ITransformer predictionPipeline = mlContext
.Model.Load("C:/Users/iRebeca/facultate/.NET/.NetProject/TSense/Tests/MlModels/sentiment_model.zip", out predictionPipelineSchema);
PredictionEngine <SentimentData, SentimentPrediction> predictionEngine = mlContext
.Model.CreatePredictionEngine <SentimentData, SentimentPrediction>(predictionPipeline);
SentimentController sentiment = new SentimentController(predictionEngine);
SentimentData sentimentData = new SentimentData();
sentimentData.SentimentText = "It was bad";
//Act
var result = (OkObjectResult)sentiment.Post(sentimentData).Result;
var prediction = (SentimentPrediction)result.Value;
//Assert
Assert.IsInstanceOfType(result.Value, typeof(SentimentPrediction));
Assert.AreEqual(prediction.Prediction, false);
}
