Hi, I have a problem when I try to interpolate Matlab inbuilt function bayesopt with Julia function, in my program, I try to use julia to evaluate my objective function, since it's fast, but I also want to use matlab bayesopt to optimize it, since julia's package is not that complete, it's almost work, but has a problem with variable type, here is an simple example, and the error as follows,
xrange = optimizableVariable('v1',[-2,2],'Type','real');
yrange = optimizableVariable('v2',[-5,5],'Type','real');
bayesObject =bayesopt(@(tbl)$mdlfun(tbl),var,...
'MaxObjectiveEvaluations',50)
Unable to use a value of type table as an index.
Error in @(tbl)matlab_jl_2(tbl)
Error in BayesianOptimization/callObjNormally (line 2576)
Objective = this.ObjectiveFcn(conditionalizeX(this, X));
Error in BayesianOptimization/callObjFcn (line 481)
= callObjNormally(this, X);
Error in BayesianOptimization/runSerial (line 1996)
ObjectiveFcnObjectiveEvaluationTime, ObjectiveNargout] = callObjFcn(this, this.XNext);
Error in BayesianOptimization/run (line 1948)
Error in BayesianOptimization (line 457)
Error in bayesopt (line 323)
Results = BayesianOptimization(Options);