public static async Task <LabellingJob> CreateLabellingJob(ILabellingJobRepository jobRepo, IJobIterationRepository iterationRepo, IDataStore dataStore, IPredictiveModel model, ISelectionStrategy selectionStrategy, IStoppingCriterion stoppingCriterion, ISeedingStrategy seedingStrategy, IJobIterationNotifier notifier, IDataFormat dataFormat, int batchSize, int seedSize) { var job = new LabellingJob() { JobID = Guid.NewGuid(), DataStore = dataStore, Model = model, SelectionStrategy = selectionStrategy, StoppingCriterion = stoppingCriterion, DataFormat = dataFormat, BatchSize = batchSize }; await jobRepo.Add(job); JobIteration iteration = new JobIteration() { JobID = job.JobID, PreviousIterationID = Guid.Empty, QueryIDs = (await seedingStrategy.GetQueryIDs(dataStore, dataFormat, seedSize)).ToArray() }; await iterationRepo.Add(iteration); notifier.OnLabelsRequested(iteration); return(job); }
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 static async Task <JobIteration> GetSeedIteration(LabellingJob labellingJob, IJobIterationRepository iterationRepo, ISeedingStrategy seedingStrategy, IDataFormat dataFormat) { IDataStore ds = labellingJob.DataStore; JobIteration iteration = new JobIteration() { JobID = labellingJob.JobID, PreviousIterationID = Guid.Empty, QueryIDs = (await seedingStrategy.GetQueryIDs(ds, dataFormat, 3)).ToArray() }; await iterationRepo.Add(iteration); return(iteration); }