void New_CrossValidation()
{
var dataPath = GetDataPath(SentimentDataPath);
var testDataPath = GetDataPath(SentimentTestPath);
using (var env = new TlcEnvironment(seed: 1, conc: 1))
{
var data = new TextLoader(env, MakeSentimentTextLoaderArgs())
.Read(new MultiFileSource(dataPath));
// Pipeline.
var pipeline = new TextTransform(env, "SentimentText", "Features")
.Append(new LinearClassificationTrainer(env, new LinearClassificationTrainer.Arguments
{
NumThreads = 1,
ConvergenceTolerance = 1f
}, "Features", "Label"));
var cv = new MyCrossValidation.BinaryCrossValidator(env)
{
NumFolds = 2
};
var cvResult = cv.CrossValidate(data, pipeline);
}
}
void New_CrossValidation()
{
using (var env = new LocalEnvironment(seed: 1, conc: 1))
{
var data = new TextLoader(env, MakeSentimentTextLoaderArgs())
.Read(new MultiFileSource(GetDataPath(TestDatasets.Sentiment.trainFilename)));
// Pipeline.
var pipeline = new TextTransform(env, "SentimentText", "Features")
.Append(new LinearClassificationTrainer(env, "Features", "Label", advancedSettings: (s) => { s.ConvergenceTolerance = 1f; s.NumThreads = 1; }));
var cv = new MyCrossValidation.BinaryCrossValidator(env)
{
NumFolds = 2
};
var cvResult = cv.CrossValidate(data, pipeline);
}
}
