public void Univariate(decimal population, decimal profitFrom, decimal profitTo)
{
var algorithm = new LinearRegression(_cities, _profits, new Settings {
ScaleAndNormalize = false, InputSplitRatio = InputSplitRatio.No
});
var city = new City {
Population = population
};
var profit = algorithm.GetPrediction(city);
Assert.That(profit, Is.InRange(profitFrom, profitTo), "Incorrect price prediction for [" + city + "]");
}
public void MultivariateScaled(decimal size, int bedroomCount, decimal priceFrom, decimal priceTo)
{
//var algorithm = new LinearRegression(_houses, _housePrices, new Settings { InputSplitRatio = InputSplitRatio.No, MaxIterations = 400});
//the above works - looks like IsConverging isn't working properly
var algorithm = new LinearRegression(_houses, _housePrices, new Settings {
InputSplitRatio = InputSplitRatio.No
});
var house = new House {
Size = size, BedroomCount = bedroomCount
};
var price = algorithm.GetPrediction(house);
Assert.That(price, Is.InRange(priceFrom, priceTo), "Incorrect price prediction for [" + house + "]");
}
public void PredictCarPrice()
{
//var algorithm = new LinearRegression(_cars, _carPrices, new Settings { InputSplitRatio = InputSplitRatio.No, MaxIterations = 425});
//the above works - looks like IsConverging isn't working properly
var algorithm = new LinearRegression(_cars, _carPrices, new Settings {
InputSplitRatio = InputSplitRatio.No
});
var car = new Car {
Model = "Mazda MPV",
EngineSize = 12,
MaxHorsePower = 12,
IsManualShift = false
};
var price = algorithm.GetPrediction(car);
Assert.That(price, Is.InRange(15.9, 16.9), "Incorrect price prediction for [" + car + "]");
}
