RegressionTree cannot use "predict" method?
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Hello there,
I'm using Matlab R2013a and was able to train a regression tree using RegressionTree.fit(). However, when I used "predict(rtree, test_data)," I got the following error message:
Error using predict (line 85) Systems of classreg.learning.partition.RegressionPartitionedModel class cannot be used with the "predict" command. Convert the system to an identified model first, such as by using the "idss" command.
I believe using "predict" method confused a dynamic model estimation. Can you please tell me what was wrong?
Young
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Respuestas (2)
Young
el 9 de Jun. de 2014
Editada: Walter Roberson
el 12 de Abr. de 2016
1 comentario
reem aldaihani
el 17 de Feb. de 2018
What if we will use cross-validation? This is part of my code: cvmodel=fitcknn(training_Best,class1, 'Distance',@mindistnew, 'NumNeighbors',1, 'KFold',10); cvclass=predict(cvmodel, testing_Best);
and I received this error:
Systems of classreg.learning.partition.ClassificationPartitionedModel class cannot be used with the "predict" command. Convert the system to an identified model first, such as by using the "idss" command.
Could you please help me to fix this ASAP.
Sincloe Brans
el 9 de Jun. de 2014
Editada: Walter Roberson
el 11 de Abr. de 2016
Just do
Yfit = tree([Xnew]);
where tree is your regression or classreg tree and Xnew the new X's to be predicted.
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