public void TestExampleCache()
{
var random = new Random(123);
var examples = new List<CachedData>();
for (int i = 0; i < 1000; i++)
{
examples.Add(new CachedData
{
Label = new SimpleLabel { Label = 1 },
Feature = random.NextDouble()
});
}
for (int i = 0; i < 1000; i++)
{
var cachedData = new CachedData
{
Label = new SimpleLabel { Label = 2 },
Feature = 10 + random.NextDouble()
};
examples.Add(cachedData);
examples.Add(cachedData);
}
using (var vw = new VowpalWabbit<CachedData>(new VowpalWabbitSettings("-k -c --passes 10", enableExampleCaching: false)))
{
foreach (var example in examples)
{
vw.Learn(example, example.Label);
}
vw.Native.RunMultiPass();
vw.Native.SaveModel("models/model1");
}
using (var vwModel = new VowpalWabbitModel(new VowpalWabbitSettings("-t", modelStream: File.OpenRead("models/model1"))))
using (var vwCached = new VowpalWabbit<CachedData>(new VowpalWabbitSettings(model: vwModel, enableExampleCaching: true, maxExampleCacheSize: 5 )))
using (var vw = new VowpalWabbit<CachedData>(new VowpalWabbitSettings(model: vwModel, enableExampleCaching: false )))
{
foreach (var example in examples)
{
var cachedPrediction = vwCached.Predict(example, VowpalWabbitPredictionType.Scalar);
var prediction = vw.Predict(example, VowpalWabbitPredictionType.Scalar);
Assert.AreEqual(prediction, cachedPrediction);
Assert.AreEqual(example.Label.Label, Math.Round(prediction));
}
}
}
public void TestExampleCache()
{
var random = new Random(123);
var examples = new List <CachedData>();
for (int i = 0; i < 1000; i++)
{
examples.Add(new CachedData
{
Label = new SimpleLabel {
Label = 1
},
Feature = random.NextDouble()
});
}
for (int i = 0; i < 1000; i++)
{
var cachedData = new CachedData
{
Label = new SimpleLabel {
Label = 2
},
Feature = 10 + random.NextDouble()
};
examples.Add(cachedData);
examples.Add(cachedData);
}
using (var vw = new VowpalWabbit <CachedData>("-k -c --passes 10", new VowpalWabbitSerializerSettings
{
EnableExampleCaching = false
}))
{
foreach (var example in examples)
{
using (var vwExample = vw.ReadExample(example))
{
vwExample.Learn();
}
}
vw.RunMultiPass();
vw.SaveModel("model1");
}
using (var vwModel = new VowpalWabbitModel("-t", File.OpenRead("model1")))
using (var vwCached = new VowpalWabbit <CachedData>(vwModel, new VowpalWabbitSerializerSettings {
EnableExampleCaching = true, MaxExampleCacheSize = 5
}))
using (var vw = new VowpalWabbit <CachedData>(vwModel, new VowpalWabbitSerializerSettings {
EnableExampleCaching = false
}))
{
foreach (var example in examples)
{
using (var vwCachedExample = vwCached.ReadExample(example))
using (var vwExample = vw.ReadExample(example))
{
var cachedPrediction = vwCachedExample.Predict <VowpalWabbitScalarPrediction>();
var prediction = vwExample.Predict <VowpalWabbitScalarPrediction>();
Assert.AreEqual(prediction.Value, cachedPrediction.Value);
Assert.AreEqual(example.Label.Label, Math.Round(prediction.Value));
}
}
}
}
public void TestExampleCache()
{
var random = new Random(123);
var examples = new List<CachedData>();
for (int i = 0; i < 1000; i++)
{
examples.Add(new CachedData
{
Label = new SimpleLabel { Label = 1 },
Feature = random.NextDouble()
});
}
for (int i = 0; i < 1000; i++)
{
var cachedData = new CachedData
{
Label = new SimpleLabel { Label = 2 },
Feature = 10 + random.NextDouble()
};
examples.Add(cachedData);
examples.Add(cachedData);
}
using (var vw = new VowpalWabbit<CachedData>("-k -c --passes 10", new VowpalWabbitSerializerSettings
{
EnableExampleCaching = false
}))
{
foreach (var example in examples)
{
using (var vwExample = vw.ReadExample(example))
{
vwExample.Learn();
}
}
vw.RunMultiPass();
vw.SaveModel("model1");
}
using (var vwModel = new VowpalWabbitModel("-t", File.OpenRead("model1")))
using (var vwCached = new VowpalWabbit<CachedData>(vwModel, new VowpalWabbitSerializerSettings { EnableExampleCaching = true, MaxExampleCacheSize = 5 }))
using (var vw = new VowpalWabbit<CachedData>(vwModel, new VowpalWabbitSerializerSettings { EnableExampleCaching = false }))
{
foreach (var example in examples)
{
using (var vwCachedExample = vwCached.ReadExample(example))
using (var vwExample = vw.ReadExample(example))
{
var cachedPrediction = vwCachedExample.Predict<VowpalWabbitScalarPrediction>();
var prediction = vwExample.Predict<VowpalWabbitScalarPrediction>();
Assert.AreEqual(prediction.Value, cachedPrediction.Value);
Assert.AreEqual(example.Label.Label, Math.Round(prediction.Value));
}
}
}
}
public void TestExampleCache()
{
var random = new Random(123);
var examples = new List <CachedData>();
for (int i = 0; i < 1000; i++)
{
examples.Add(new CachedData
{
Label = new SimpleLabel {
Label = 1
},
Feature = random.NextDouble()
});
}
for (int i = 0; i < 1000; i++)
{
var cachedData = new CachedData
{
Label = new SimpleLabel {
Label = 2
},
Feature = 10 + random.NextDouble()
};
examples.Add(cachedData);
examples.Add(cachedData);
}
using (var vw = new VowpalWabbit <CachedData>(new VowpalWabbitSettings("-k -c --passes 10")
{
EnableExampleCaching = false
}))
{
foreach (var example in examples)
{
vw.Learn(example, example.Label);
}
vw.Native.RunMultiPass();
vw.Native.SaveModel("models/model1");
}
using (var vwModel = new VowpalWabbitModel(new VowpalWabbitSettings("-t")
{
ModelStream = File.OpenRead("models/model1")
}))
using (var vwCached = new VowpalWabbit <CachedData>(new VowpalWabbitSettings {
Model = vwModel, EnableExampleCaching = true, MaxExampleCacheSize = 5
}))
using (var vw = new VowpalWabbit <CachedData>(new VowpalWabbitSettings {
Model = vwModel, EnableExampleCaching = false
}))
{
foreach (var example in examples)
{
var cachedPrediction = vwCached.Predict(example, VowpalWabbitPredictionType.Scalar);
var prediction = vw.Predict(example, VowpalWabbitPredictionType.Scalar);
Assert.AreEqual(prediction, cachedPrediction);
Assert.AreEqual(example.Label.Label, Math.Round(prediction));
}
}
}