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 RunIterationTest(Guid iterationId, string[] labels) { ILabellingJobRepository jobRepo = new LabellingJobRepositoryFactory().Create(); IJobIterationNotifier notifier = new JobIterationNotifierFactory().Create(); IJobIterationRepository iterationRepo = new JobIterationRepositoryFactory().Create(); JobIteration ji = iterationRepo.Get(iterationId); Guid jobId = ji.JobID; await ActiveLoop.DoIteration(notifier, jobRepo, iterationRepo, iterationId, labels); }
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); }