void ApplyOnTest(IEnumerable<Image> test, Stopwatch sw, IOracle oracle, string resultFile)
{
Console.WriteLine("Begin predicting on TEST ... elapsed time (in s):" + sw.Elapsed.TotalSeconds);
int nbTest = test.Count();
List<int> result = new List<int>(nbTest);
int count = 0;
foreach (Image t in test)
{
int predict = oracle.Predict(t);
//t.ToImage(count.ToString() + ".bmp");
//Console.WriteLine(count.ToString() + " = predict => " + predict);
result.Add(predict);
count++;
if (count % 1000 == 0)
{
Console.WriteLine("at count=" + count);
Console.WriteLine("elapsed time (in s):" + sw.Elapsed.TotalSeconds);
}
}
using (StreamWriter writer = new StreamWriter(resultFile))
{
foreach (int res in result)
writer.WriteLine(res);
}
Console.WriteLine("elapsed time (in s):" + sw.Elapsed.TotalSeconds);
}
static void InfoAboutTrainingSet(List<Person> ps, IOracle oracle = null)
{
double nbSurvived = ps.Count(
p => oracle == null ? p.Survived : oracle.Predict(p)
);
double nbTotal = ps.Count();
double rate = nbSurvived / nbTotal;
Console.WriteLine("NbSurvived:{0};NbTotal:{1};SurvivalRate:{2}", nbSurvived, nbTotal, rate);
}
static void WriteToTestResult(IOracle forest)
{
List<Person> test = ImportFromCsv.GetDataSet(__dataFolder + "originalTest.csv", train: false);
using (StreamReader reader = new StreamReader(__dataFolder + "originalTest.csv")) // Just to take the csv header ...
using (StreamWriter writer = new StreamWriter(__dataFolder + "/result.csv"))
{
writer.Write("survived,");
writer.WriteLine(reader.ReadLine());
foreach (var p in test)
{
bool predict = forest.Predict(p);
writer.Write(predict ? "1," : "0,");
writer.WriteLine(reader.ReadLine());
}
}
}
static double MesureModelOnValidation(List<Person> valid, IOracle oracle)
{
// Mesrue forest's Performance on Validation
int nbErrorOnValidation = 0;
foreach (var v in valid)
{
bool predict = oracle.Predict(v);
if (predict != v.Survived)
nbErrorOnValidation++;
}
double percent = (nbErrorOnValidation + 0.00) / valid.Count * 100;
return percent;
}
void ApplyOnValidation(IEnumerable<Image> validation, Stopwatch sw, IOracle oracle)
{
int nbTotal = 0;
int nbCorrect = 0;
Console.WriteLine("Begin predicting ...Elapsed time (in s):" + sw.Elapsed.TotalSeconds);
Console.WriteLine();
foreach (Image v in validation)
{
nbTotal++;
if (nbTotal % 50 == 0)
{
Console.WriteLine("at nbTotal=" + nbTotal + ". Elapsed time (in s):" + sw.Elapsed.TotalSeconds);
}
int predict = oracle.Predict(v);
if (predict == v.Label)
nbCorrect++;
}
Console.WriteLine("nbTotal:" + nbTotal);
Console.WriteLine("nbCorrect:" + nbCorrect);
Console.WriteLine("elapsed time (in s):" + sw.Elapsed.TotalSeconds);
}
private double Score(IEnumerable<Image> valid, IOracle oracle)
{
double nbImage = 0;
double correct = 0;
foreach (Image image in valid)
{
nbImage++;
int predict = oracle.Predict(image);
if (predict == image.Label)
{
correct++;
}
}
return correct / nbImage;
}
