static void Main(string[] args)
{
ILabellingJobRepository jobRepo = new LabellingJobRepositoryFactory().Create();
IJobIterationRepository iterationRepo = new JobIterationRepositoryFactory().Create();
IDataStore dataStore = new DataStoreFactory().CreateOrReplace("TestJack", DataFormats.CIFAR10.GetFormat());
IPredictiveModelFactory modelFactory = new PredictiveModelFactory();
Dictionary <string, string> modelParameters = new Dictionary <string, string>();
modelParameters.Add("k", "15");
modelParameters.Add("numberOfClasses", "10");
IPredictiveModel model = modelFactory.Create("KNearestNeighbour", modelParameters);
ISelectionStrategyFactory ssFactory = new SelectionStrategyFactory();
Dictionary <string, string> ssParameters = new Dictionary <string, string>();
ssParameters.Add("diversityFunction", DiversityFunctions.COSINE_DISTANCE.ToString());
ISelectionStrategy selectionStrategy = ssFactory.Create("DiversitySelectionStrategy", ssParameters);
IStoppingCriterionFactory scFactory = new StoppingCriterionFactory();
Dictionary <string, string> scParameters = new Dictionary <string, string>();
scParameters.Add("maxLabels", "15");
IStoppingCriterion stoppingCriterion = scFactory.Create("LabelLimit", scParameters);
ISeedingStrategyFactory seedingFactory = new SeedingStrategyFactory();
Dictionary <string, string> seedingParameters = new Dictionary <string, string>();
seedingParameters.Add("randomSeed", "15");
ISeedingStrategy seedingStrategy = seedingFactory.Create("RandomSeedingStrategy", seedingParameters);
IJobIterationNotifier notifier = new JobIterationNotifierFactory().Create();
IDataFormat dataFormat = DataFormats.CIFAR10.GetFormat();
}
public static async Task <LabellingJob> RunCreateJobTest()
{
ILabellingJobRepository jobRepo = new LabellingJobRepositoryFactory().Create();
IJobIterationRepository iterationRepo = new JobIterationRepositoryFactory().Create();
IDataParser parser = new DataParserFactory().Create(DataFormats.CIFAR10);
IDataFormat dataFormat = parser.Format;
IDataStore dataStore = new DataStoreFactory().CreateOrConnect("TestJack", dataFormat);
IPredictiveModelFactory modelFactory = new PredictiveModelFactory();
IPredictiveModel model = modelFactory.Create("LinearRegression");
ISelectionStrategyFactory ssFactory = new SelectionStrategyFactory();
Dictionary <string, string> ssParameters = new Dictionary <string, string>();
ssParameters.Add("randomSeed", "15");
ISelectionStrategy selectionStrategy = ssFactory.Create("RandomSelectionStrategy", ssParameters);
IStoppingCriterionFactory scFactory = new StoppingCriterionFactory();
Dictionary <string, string> scParameters = new Dictionary <string, string>();
scParameters.Add("maxLabels", "15");
IStoppingCriterion stoppingCriterion = scFactory.Create("LabelLimit", scParameters);
ISeedingStrategyFactory seedingFactory = new SeedingStrategyFactory();
Dictionary <string, string> seedingParameters = new Dictionary <string, string>();
seedingParameters.Add("randomSeed", "15");
ISeedingStrategy seedingStrategy = seedingFactory.Create("RandomSeedingStrategy", seedingParameters);
IJobIterationNotifier notifier = new JobIterationNotifierFactory().Create();
int batchSize = 3;
int seedSize = 3;
var job = await ActiveLoop.CreateLabellingJob(
jobRepo : jobRepo,
iterationRepo : iterationRepo,
dataStore : dataStore,
model : model,
selectionStrategy : selectionStrategy,
stoppingCriterion : stoppingCriterion,
seedingStrategy : seedingStrategy,
notifier : notifier,
dataFormat : dataFormat,
batchSize : batchSize,
seedSize : seedSize);
return(job);
}
public void Diversity_SS_Is_Awesome()
{
ISelectionStrategyFactory ssFactory = new SelectionStrategyFactory();
Dictionary <string, string> ssParameters = new Dictionary <string, string>();
ssParameters.Add("diversityFunction", DiversityFunctions.COSINE_DISTANCE.ToString());
ISelectionStrategy diversity = ssFactory.Create("DiversitySelectionStrategy", ssParameters);
object[][] labelled = new object[][]
{
new object[] { 1, 5, 5, 5 }
};
object[][] unlabelled = new object[][]
{
new object[] { 2, 6, 5, 6 },
new object[] { 3, 8, 18, 218 }
};
var selected = diversity.GenerateQuery(labelled, unlabelled, new TestDataFormat(), 1).Result;
Assert.AreEqual(selected.Count, 1);
Assert.AreEqual(selected.First(), 3);
}