static void TrainEvaluatePredict(TrainerBase trainer, BostonHousingData newSample)
{
Console.WriteLine("*******************************");
Console.WriteLine($"{ trainer.Name }");
Console.WriteLine("*******************************");
trainer.Fit("..\\Data\\boston_housing.csv");
var modelMetrics = trainer.Evaluate();
Console.WriteLine($"Loss Function: {modelMetrics.LossFunction:0.##}{Environment.NewLine}" +
$"Mean Absolute Error: {modelMetrics.MeanAbsoluteError:#.##}{Environment.NewLine}" +
$"Mean Squared Error: {modelMetrics.MeanSquaredError:#.##}{Environment.NewLine}" +
$"RSquared: {modelMetrics.RSquared:0.##}{Environment.NewLine}" +
$"Root Mean Squared Error: {modelMetrics.RootMeanSquaredError:#.##}");
trainer.Save();
var predictor = new Predictor();
var prediction = predictor.Predict(newSample);
Console.WriteLine("------------------------------");
Console.WriteLine($"Prediction: {prediction.MedianPrice:#.##}");
Console.WriteLine("------------------------------");
}
static void Main(string[] args)
{
var newSample = new BostonHousingData
{
Age = 65.2f,
CrimeRate = 0.00632f,
EmployCenterDistance = 4.0900f,
HighwayAccecabilityRadius = 15.3f,
NOConcetration = 0.538f,
NumOfRoomsPerDwelling = 6.575f,
Proportion = 1f,
PTRatio = 15.3f,
RiverCoast = 0f,
TaxRate = 296f,
Zoned = 23f
};
var ogd = new OGDBostonTrainer();
TrainEvaluatePredict(ogd, newSample);
var sdca = new SdcaRegressionBostonTrainer();
TrainEvaluatePredict(sdca, newSample);
}
/// <summary>
/// Runs prediction on new data.
/// </summary>
/// <param name="newSample">New data sample.</param>
/// <returns>Predictions made by model.</returns>
public BostonHousingPricePredictions Predict(BostonHousingData newSample)
{
LoadModel();
var predictionEngine = _mlContext.Model
.CreatePredictionEngine <BostonHousingData, BostonHousingPricePredictions>(_model);
return(predictionEngine.Predict(newSample));
}
/// <summary>
/// データのクリーニングを実施します。
/// </summary>
public void Clean()
{
using (var writer = new StreamWriter(CleanedFilePath))
{
writer.Write(string.Join(",", BostonHousingData.EnumerableColumnNames().ToArray()));
foreach (var data in EnumerableRawLine(RawFilePath))
{
writer.WriteLine();
writer.Write(ConvertToCommaLine(data));
}
writer.Flush();
}
}
