public void LogisticRegression_Test()
{
Assert.Fail(); //Takes really long
MyLogisticRegression mlr = new MyLogisticRegression(3);
Assert.AreEqual(0d, TestMachineLearning(mlr), 0.4);
}
public static double getPredictivePowerWithMl(double[][] trainingInput, double[][] trainingOutput, double[][] testInput, double[][] testOutput, MLMethodForPPAnalysis method)
{
Logger.log("Start", "getPredictivePowerWithMl " + method);
IMachineLearning ml;
if (method == MLMethodForPPAnalysis.LinearRegression)
ml = new MyRegression(1);
else if (method == MLMethodForPPAnalysis.LogRegression)
ml = new MyLogisticRegression(1);
else
throw new Exception("No method given...");
Logger.log("Train", "getPredictivePowerWithMl " + method);
ml.train(trainingInput, trainingOutput);
Logger.log("Get error", "getPredictivePowerWithMl " + method);
return 1d / ml.getPredictionErrorFromData(testInput, testOutput);
}
