public void New_TrainWithInitialPredictor()
{
var dataPath = GetDataPath(SentimentDataPath);
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");
// Train the pipeline, prepare train set.
var trainData = pipeline.FitAndTransform(data);
// Train the first predictor.
var trainer = new LinearClassificationTrainer(env, new LinearClassificationTrainer.Arguments
{
NumThreads = 1
}, "Features", "Label");
var firstModel = trainer.Fit(trainData);
// Train the second predictor on the same data.
var secondTrainer = new AveragedPerceptronTrainer(env, new AveragedPerceptronTrainer.Arguments());
var trainRoles = new RoleMappedData(trainData, label: "Label", feature: "Features");
var finalModel = secondTrainer.Train(new TrainContext(trainRoles, initialPredictor: firstModel.Model));
}
}
