This function takes the test set instances and the model trained by plm.trainer in order to predict the classes.
plm.predictor(feat, label, data.split = NULL, models.list, model.mat, model.type)
feat | features object |
---|---|
label | label object |
data.split | filename containing the test samples or list of test instances produced by data.splitter(), defaults to |
model.mat | model matrix needed to rebuild the model |
model.type | string, type of the model that was trained |
model | model object trained by plm.trainer |
list containing the precitions
$pred
;
$mat