i have a [1x1000] training vector and a categorical response variable resp;
ihave created KNNclassification model using the following code:
mdl = fitcknn(p,resp,'NumNeighbors',k,'distance','euclidean','kfold',5,'standardize',1);
i want to predict the class for the for each element of [1x1000] test vector t
i used the command:
its giving 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.
plz tell me how to solve this? which is the matlab command to achieve this?