Closed bundit786 closed 1 week ago
[from a quick look at the code...]
meka.classifiers.multilabel.SemisupervisedClassifier
interface, which has the method introduceUnlabelledData(Instances)
.EM
and CM
(package meka.classifiers.multilabel.meta
)meka.classifiers.multilabel.Evaluation
class (which is used when evaluating a classifier from the command-line or through the GUI) automatically supplies the test set (without its labels) to this method. Test set can either be a supplied one, one generated from a train/test split or the test part from a cross-validation fold pair.Thank you for getting back. I can now get CM
in meka.classifiers.multilabel.meta
using GUI. But for meka.classifiers.multilabel.SemisupervisedClassifier
, is it available in GUI or only in command line?
meka.classifiers.multilabel.SemisupervisedClassifier
is just a Java interface for semi-supervised classifiers to implement, not an actual classifier that you can use. EM
and CM
implement this interface (and these are the only two semi-supervised classifiers in Meka).
Assumed to be sorted.
Hi Meka Team,
I have some experience using Meka to train and evaluate a supervised model. The semi-supervised model, which is stated to be a capable approach but with little information about how to use it. So, can you give me an example of how train and evaluate a model using a basic technique like pseudo-labelling?
Thank you.