public NaiveBayesTest(MedicalDBContext context, INaiveBayes naiveBayes)
{
_context = context;
_naiveBayes = naiveBayes;
_performanceMeter = new Dictionary <string, InformationRetrieval>();
InitializeMeter();
}
public KMeansTest(MedicalDBContext context, IKMeans kMeans)
{
_context = context;
_kMeans = kMeans;
_performanceMeter = new Dictionary <string, InformationRetrieval>();
InitializeMeter();
}
public AprioriTest(MedicalDBContext context, IApriori apriori)
{
_context = context;
_apriori = apriori;
_performanceMeter = new Dictionary <string, InformationRetrieval>();
InitializeMeter();
}
public KMeans(MedicalDBContext context)
{
_context = context;
spaceDimension = context.Symptoms.Count();
numberOfCentroids = context.Diseases.Count();
clusters = new Dictionary <string, double[]>();
GetDataPoints();
InitializeCentroids();
TrainCentroids();
AssignClasses();
}
public LoginController(MedicalDBContext context)
{
_context = context;
}
public SqlAppointmentRepo(MedicalDBContext context)
{
_context = context;
}
public SqlConnectionRequestRepo(MedicalDBContext context)
{
_context = context;
}
public SqlUserRepo(MedicalDBContext context)
{
_context = context;
}
public KNearestNeighbors(MedicalDBContext context)
{
_context = context;
}
public SymptomsController(MedicalDBContext context)
{
_context = context;
}
public NaiveBayes(MedicalDBContext context)
{
_context = context;
}
public SqlLogRepo(MedicalDBContext context)
{
_context = context;
}
public KNearestNeighborsTest(MedicalDBContext context, IKNearestNeighbors kNearestNeighbors)
{
_context = context;
_kNearestNeighbors = kNearestNeighbors;
}
public SqlMedicationRepo(MedicalDBContext context)
{
_context = context;
}
public Apriori(MedicalDBContext context)
{
_context = context;
CreateAssociationRules();
}
public FileParser(MedicalDBContext context)
{
_context = context;
}
