private XGBooster Train(IDictionary <string, object> args, DMatrix train, int numBoostRound = 10)
{
var bst = new XGBooster(args, train);
for (var i = 0; i < numBoostRound; i++)
{
bst.Update(train, i);
}
return(bst);
}
private static XGBooster Train(IDictionary <string, object> parameters, DMatrix dTrain, int numBoostRound = 10)
{
XGBooster booster = new XGBooster(parameters, dTrain);
for (int round = 0; round < numBoostRound; round++)
{
booster.Update(dTrain, round);
}
return(booster);
}
public XGBClassifier Clone()
{
byte[] modelBytes = booster.GetModelRaw();
XGBooster newBooster = new XGBooster();
newBooster.LoadModelFromBuffer(modelBytes);
return(new XGBClassifier
{
booster = newBooster,
parameters = new Dictionary <string, object>(parameters)
});
}
