public static int getDatasetIndex(Dataset currentItem)
{
return loadedDatasets.IndexOf(currentItem);
}
/// <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();
}
/// <summary>
/// Constructors
/// </summary>
/// <param name="initialNumberOfLabelsPerTask"></param>
/// <param name="currentDataset"></param>
/// <param name="currentExperimentType"></param>
/// <param name="numberOfIterations"></param>
public ExperimentSetting(int initialNumberOfLabelsPerTask, Dataset currentDataset, ExperimentType currentExperimentType, int numberOfIterations = 1)
{
this.numberOfLabellingRound = initialNumberOfLabelsPerTask;
experimentModels = new List<ExperimentModel>();
this.currentDataset = currentDataset;
accuracyArrayOfAllExperimentModels = null;
SetInitialStartingLabel();
this.numberOfIterations = numberOfIterations;
this.experimentType = currentExperimentType;
}
