/**
* update with give grad and hess
*
* @param dtrain training data
* @param grad first order of gradient
* @param hess seconde order of gradient
* @throws XGBoostError native error
*/
public void boost(DMatrix dtrain, float[] grad, float[] hess) throws XGBoostError {
if (grad.length != hess.length) {
throw new AssertionError(
String.format("grad/hess length mismatch %s / %s", grad.length, hess.length));
}
JNIErrorHandle.checkCall(
XgboostJNI.XGBoosterBoostOneIter(handle, dtrain.getHandle(), grad, hess));
}
