This function tests a regression model for a given X.test
feature matrix, Y.test
response vector, and working parameters.
RGBM.test(model, X.test, Y.test, M.test)
Result of regression
Model returned by RGBM.train
function.
Input S-by-P feature matrix of unseen samples. Columns correspond to features, rows correspond to samples.
Input S-element response vector of unseen samples.
Number of extensions of boosting model to take when predicting response. Must be not greater than M.train
used when training boosting model.
Raghvendra Mall <raghvendra5688@gmail.com>