Bayesian Optimization? Can't find anything wrong.

% https://www.mathworks.com/help/stats/bayesopt.html

% I followed example in the first line and don't know how to change it right. Thanks a lot!

clear;clc;

load ionosphere

dataX = X;

dataY = Y;

c = cvpartition(351,'KFold',5);

kernel = optimizableVariable('kernel',{'gaussian','polynomial'},'Type','categorical');

kernelScale = optimizableVariable('kernelScale',[1, 30]);

polyOrder = optimizableVariable('polyOrder',[2, 3],'Type','integer');

vars = [kernel,kernelScale,polyOrder];

fun = @(x)kfoldLoss(fitcsvm(dataX,dataY,'CVPartition',c,'KernelFunction',string(x.kernel),'KernelScale',x.kernelScale,'PolynomialOrder',x.polyOrder));

results = bayesopt(fun,vars,'Verbose',1,'AcquisitionFunctionName','expected-improvement-plus');

%% The output

|====================================================================================================================|

| Iter | Eval | Objective | Objective | BestSoFar | BestSoFar | kernel | kernelScale | polyOrder |

| | result | | runtime | (observed) | (estim.) | | | |

|====================================================================================================================|

| 1 | Best | 0.11966 | 0.067042 | 0.11966 | 0.11966 | polynomial | 7.1654 | 3 |

错误使用 classreg.learning.partition.PartitionedModel/checkFoldArgs (line 327)

Indices of folds must be a vector with numbers between 1 and 0.

出错 classreg.learning.partition.ClassificationPartitionedModel/kfoldLoss (line 310)

[mode,folds,extraArgs] = checkFoldArgs(this,varargin{:});

出错

BO_SVM>@(x)kfoldLoss(fitcsvm(dataX,dataY,'CVPartition',c,'KernelFunction',string(x.kernel),'KernelScale',x.kernelScale,'PolynomialOrder',x.polyOrder))

出错 BayesianOptimization/callObjNormally (line 2553)

Objective = this.ObjectiveFcn(conditionalizeX(this, X));

出错 BayesianOptimization/callObjFcn (line 467)

= callObjNormally(this, X);

出错 BayesianOptimization/runSerial (line 1989)

ObjectiveFcnObjectiveEvaluationTime, ObjectiveNargout] = callObjFcn(this, this.XNext);

出错 BayesianOptimization/run (line 1941)

this = runSerial(this);

出错 BayesianOptimization (line 457)

this = run(this);

出错 bayesopt (line 323)

Results = BayesianOptimization(Options);

出错 BO_SVM (line 13)

results = bayesopt(fun,vars,'Verbose',1,'AcquisitionFunctionName','expected-improvement-plus');