//MATLAB REFERENCE. You must add the matlab reference via the project menu before this will work
//MLApp.MLApp matlab;
public AdaptiveProvider(RandomizedQueue <StudyTestPair> stp, IArrayView <string> presentation, IArrayView <string> class1, IArrayView <string> class2,
AdaptiveSettings settings, IEEGDataSource dataSource, IArray <ClassificationScheme> classifiers)
{
this.pres = stp;
this.settings = settings;
this.dataSource = dataSource;
this.presentation = presentation;
this.class1 = class1;
this.class2 = class2;
this.classifiers = classifiers;
//NOTE: It will always take the first classification scheme chosen
//TODO: Make it so that only one classification scheme can be specified
classifier = new ClassifierManager(classifiers[0]);
//MATLAB REFERENCE
//matlab = new MLApp.MLApp();
blocks = new RandomizedQueue <string> [settings.NumBlocks * 2];
int limit = 0;
for (int i = 0; i < settings.NumBlocks * 2; i += 2)
{
blocks[i] = new RandomizedQueue <string>();
blocks[i + 1] = new RandomizedQueue <string>();
for (int j = 0 + limit * settings.BlockSize; j < (limit + 1) * settings.BlockSize; j++)
{
blocks[i].Add(this.class1[j]);
blocks[i + 1].Add(this.class2[j]);
}
limit++;
}
}
public KRMonitorProvider(IArrayView <string> presentation, RandomizedQueue <StudyTestPair> stp,
KRMonitorSettings settings, IEEGDataSource dataSource)
{
this.presentation = presentation;
this.stp = stp;
this.settings = settings;
this.dataSource = dataSource;
}
/// <summary>
/// Invokes the connected action
/// </summary>
public void SourceConnected(IEEGDataSource source)
{
if (this.source == null)
this.source = source;
else if (this.source != source)
throw new Exception("Listener connected to multiple sources!");
if (this.onSourceConnected != null)
this.invoker.BeginInvoke(() => this.onSourceConnected(source));
}
/// <summary>
/// Construct an experiment with the given parameters
/// </summary>
public ExperimentProvider(ExperimentSettings settings,
StimulusClass stimulusClass1,
StimulusClass stimulusClass2,
IArrayView <ClassificationScheme> classificationSchemes,
IEEGDataSource dataSource)
{
this.Settings = settings;
this.StimulusClass1 = stimulusClass1;
this.StimulusClass2 = stimulusClass2;
this.ClassificationSchemes = classificationSchemes;
this.DataSource = dataSource;
}
/// <summary>
/// Invokes the connected action
/// </summary>
public void SourceConnected(IEEGDataSource source)
{
if (this.source == null)
{
this.source = source;
}
else if (this.source != source)
{
throw new Exception("Listener connected to multiple sources!");
}
if (this.onSourceConnected != null)
{
this.invoker.BeginInvoke(() => this.onSourceConnected(source));
}
}
public CompetitionExperimentProvider(IArrayView <string> presentation, IArrayView <string> class1, IArrayView <string> class2,
CompetitionExperimentSettings settings, IEEGDataSource dataSource)
{
this.presentation = presentation;
this.class1 = class1;
this.class2 = class2;
this.settings = settings;
this.dataSource = dataSource;
blocks = new RandomizedQueue <string> [settings.NumBlocks * 2];
int limit = 0;
for (int i = 0; i < settings.NumBlocks * 2; i += 2)
{
blocks[i] = new RandomizedQueue <string>();
blocks[i + 1] = new RandomizedQueue <string>();
for (int j = 0 + limit * settings.BlockSize; j < (limit + 1) * settings.BlockSize; j++)
{
blocks[i].Add(this.class1[j]);
blocks[i + 1].Add(this.class2[j]);
}
limit++;
}
}
