public async Task RetrieveTestData_ToMultilayerNetworkClassifier(string fileName)
{
var storagePath = GetStorageDir();
using (var blobs = new BlobStore(storagePath))
using (var store = new SampleStore(storagePath))
{
await blobs.Setup(true);
var samples = store.ListSamples();
var item = samples.Where(s => s.SourceDataUrl != null && s.SourceDataUrl.EndsWith(fileName)).FirstOrDefault();
var sample = await store.RetrieveSample(item.Uri);
var pipe = sample.CreatePipeline().OutputResultsTo(blobs);
var classifier = pipe.ToMultilayerNetworkClassifier(x => x.Label).Execute(fileName);
var classOfFirst = classifier.Classify(sample.SampleData.First());
var blob = blobs.OpenMultilayerNetworkClassifier<DataItem, string>(fileName, sample.CreateFeatureExtractor());
Assert.That(classOfFirst.Any());
Assert.That(classOfFirst.First().Score > 0);
}
}
public async Task RetrieveTestData_ToNaiveBayesClassifier(string fileName)
{
var storagePath = GetStorageDir();
using (var store = new SampleStore(storagePath))
{
var samples = store.ListSamples();
var item = samples.Where(s => s.SourceDataUrl != null && s.SourceDataUrl.EndsWith(fileName)).FirstOrDefault();
var sample = await store.RetrieveSample(item.Uri);
var pipe = sample.CreatePipeline();
var classifier = pipe.ToNaiveBayesClassifier(x => x.Label).Execute();
var classOfFirst = classifier.Classify(sample.SampleData.First());
Assert.That(classOfFirst.Any());
Assert.That(classOfFirst.First().Score > 0);
}
}
public async Task StoreAsync_ExampleDataRows_ThenRetrieve()
{
var sample = SetupData();
using (var store = new SampleStore())
{
try
{
await store.Setup(true);
var uri = await store.StoreSample(sample);
var sample2 = await store.RetrieveSample(uri);
Assert.That(sample2, Is.Not.Null);
}
finally
{
store.Destroy();
}
}
}
