private void CalculateFeaturesStatisticks()
{
int featuresCount = Patients.First().Features.Count;
IList <Feature> features = GetAllFeatures();
foreach (Feature feature in Patients.First().Features)
{
int i = feature.Id;
if (Patients.First().Features.First(x => x.Id == i).Type == FeatureType.Binary)
{
double featureProbability = features.Where(x => x.Id == i).Sum(x => x.Value) / Patients.Count;
BinaryFeaturesProbabilities.Add(i, featureProbability);
}
else
{
for (int j = 0; j < ContinousFeaturesRanges.Buckets; j++)
{
Range range = ContinousFeaturesRanges.Ranges[i];
double featureRange = ContinousFeaturesRanges.FeatureRange(i);
double offsetMin = featureRange / ContinousFeaturesRanges.Buckets * j;
double offsetMax = featureRange / ContinousFeaturesRanges.Buckets * (j + 1);
ContinousFeatureProbability bucket = new ContinousFeatureProbability(i, range.Min + offsetMin, range.Min + offsetMax);
bucket.Probability = (double)features.Count(x => x.Id == i && bucket.IsInRange(x.Value)) / Patients.Count;
ContinousFeatureProbabilities.Add(bucket);
}
}
}
}
