/// <summary>
/// Return the Name of this experiment item, used for labelling and indexing for items
/// </summary>
/// <returns></returns>
public override string ToString()
{
string currentExperimentItemName = "";
ExperimentSetting currentExperimentSetting = MainPage.mainPageForm.currentExperimentSetting;
//Only display the runType name of this experiment model, when the experiment is Batch Running
if (currentExperimentSetting.experimentType == ExperimentType.BatchRunning)
{
return(GetRunTypeString());
}
//Display both runType and taskSelectionMethod of the current experiment model, for other types of experiments
currentExperimentItemName = GetRunTypeString() + ":" + Enum.GetName(typeof(TaskSelectionMethod), taskSelectionMethod) + "_" + Enum.GetName(typeof(WorkerSelectionMethod), WorkerSelectionMethod);
return(currentExperimentItemName);
}
/// <summary>
/// Restore to set previous experiment setting
/// </summary>
/// <param name="exprSetting"></param>
public void setPreviousExperimentSetting(ExperimentSetting exprSetting)
{
currentListOfExperimentModels = new List <ExperimentModel>();
dataGridViewOfCurrentModels.Rows.Clear();
comboBoxForSelectingDataset.SelectedIndex = GlobalVariables.getDatasetIndex(exprSetting.currentDataset);
//for each experimentItem in the experimentSetting
for (int i = 0; i < exprSetting.GetNumberOfExperiemntModels(); i++)
{
ExperimentModel currentExperimentItem = exprSetting.GetExperimentModel(i);
//add to the experimentList
currentListOfExperimentModels.Add(currentExperimentItem);
//add to the grid view
Object[] tempRow = { currentExperimentItem.runType, currentExperimentItem.taskSelectionMethod, currentExperimentItem.WorkerSelectionMethod };
dataGridViewOfCurrentModels.Rows.Add(tempRow);
} //End for
}
/// <summary>
/// Restore to set previous experiment setting
/// </summary>
/// <param name="exprSetting"></param>
public void setPreviousExperimentSetting(ExperimentSetting exprSetting)
{
currentListOfExperimentModels = new List<ExperimentModel>();
dataGridViewOfCurrentModels.Rows.Clear();
comboBoxForSelectingDataset.SelectedIndex = GlobalVariables.getDatasetIndex(exprSetting.currentDataset);
//for each experimentItem in the experimentSetting
for (int i = 0; i < exprSetting.GetNumberOfExperiemntModels(); i++)
{
ExperimentModel currentExperimentItem = exprSetting.GetExperimentModel(i);
//add to the experimentList
currentListOfExperimentModels.Add(currentExperimentItem);
//add to the grid view
Object[] tempRow = { currentExperimentItem.runType, currentExperimentItem.taskSelectionMethod, currentExperimentItem.WorkerSelectionMethod };
dataGridViewOfCurrentModels.Rows.Add(tempRow);
} //End for
}
/// <summary>
/// Create an ExperimentSetting instance for the selected dataset
/// </summary>
/// <param name="datasetPath">the dataset path going to examine</param>
/// <param name="totalLabellingRound">the total number of labelling round</param>
/// <pa
/// ram name="currentTaskSelectionMethods">An array containing the selected task selection methods from user</param>
/// <param name="currentRunTypes">An array containing the selected run types from user</param>
/// <param name="mabConstant">The mab constant value for the EntropyMABTask</param>
public void SetNewExperimentSettings(Dataset currentDataset, int totalLabellingRound, List<ExperimentModel> experimentItemList, ExperimentType experimentType, int numberOfIterations = 1)
{
currentExperimentSetting = new ExperimentSetting(totalLabellingRound, currentDataset, experimentType, numberOfIterations);
if (totalLabellingRound > 1)
{
if (experimentItemList.Count == 1)
{
currentExperimentSetting.numberOfLabellingRound = experimentItemList[0].numberOfLabellingRound;
}
}
for (int i = 0; i < experimentItemList.Count; i++)
{
currentExperimentSetting.AddExperimentModel(experimentItemList[i]);
}
InitialiseActiveLearningExperiment();
}
