MATLAB: Undefined function ’round’ for input arguments of type ‘categorical’ error

Question

Hello experts,

I was trying to perform the example of function fitclinear described in the matlab help documentation, and I got an error.

Here is the described the example:

load nlpdata
X = X';
Ystats = Y == 'stats';
rng default
Mdl = fitclinear(X,Ystats,'ObservationsIn','columns','Solver','sparsa',...
    'OptimizeHyperparameters','auto','HyperparameterOptimizationOptions',...
    struct('AcquisitionFunctionName','expected-improvement-plus'))

Here the error that I got:

Undefined function 'round' for input arguments of type 'categorical'.
Error in iscategorical (line 26)
if size(mat, 1) == 1 && all(round(mat) == mat)
Error in classreg.learning.paramoptim.prepareArgValue (line 12)
elseif iscategorical(elt)
Error in classreg.learning.paramoptim.BayesoptInfo.argsFromTable (line 151)
                        classreg.learning.paramoptim.prepareArgValue(XTable{1,v})}];
Error in classreg.learning.paramoptim.BayesoptInfo/updateArgsFromTable (line 56)
            ArgsFromTable = classreg.learning.paramoptim.BayesoptInfo.argsFromTable(XTable);
Error in classreg.learning.paramoptim.createObjFcn/theObjFcn (line 17)
        NewFitFunctionArgs = updateArgsFromTable(BOInfo, FitFunctionArgs, XTable);
Error in BayesianOptimization/callObjNormally (line 2184)
                        Objective = this.ObjectiveFcn(conditionalizeX(this, X));
Error in BayesianOptimization/callObjFcn (line 2145)
                    = callObjNormally(this, X);
Error in BayesianOptimization/performFcnEval (line 2128)
                ObjectiveFcnObjectiveEvaluationTime, this] = callObjFcn(this, this.XNext);
Error in BayesianOptimization/run (line 1836)
                this = performFcnEval(this);
Error in BayesianOptimization (line 450)
            this = run(this);
Error in bayesopt (line 287)
Results = BayesianOptimization(Options);
Error in classreg.learning.paramoptim.fitoptimizing>doBayesianOptimization (line 182)
OptimizationResults = bayesopt(objFcn, VariableDescriptions, ...
Error in classreg.learning.paramoptim.fitoptimizing (line 136)
        [OptimizationResults, XBest] = doBayesianOptimization(objFcn, BOInfo, VariableDescriptions,
        HyperparameterOptimizationOptions);
Error in fitclinear (line 218)
    [varargout{1:nargout}] = classreg.learning.paramoptim.fitoptimizing('fitclinear',X,y,varargin{:});

Any suggestions will be helpful.

Thanks

Answer 1

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