Hi, there is a problem when I try to call the bayesopt function (inbuilt function) from Julia, here is a simple example, and it will give an error like follows.

```
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)
this = runSerial(this);
Error in BayesianOptimization (line 457)
this = run(this);
Error in bayesopt (line 323)
Results = BayesianOptimization(Options);
```

As I know, within matlab, the variables are transfered to `mdlfun()`

in type of table, here I just want to run the objective function in Julia (cause it’s fast), and use matlab `bayesopt`

function (cause it’s convenient), thanks in advance for any suggestions

```
using MATLAB
function f(x, y)
return -x - y
end
function mdlfun(tbl)
x = tbl.v1
y = tbl.v2
return f(x, y)
end
mat"""
xrange = optimizableVariable('v1',[-2,2],'Type','real');
yrange = optimizableVariable('v2',[-5,5],'Type','real');
var=[xrange yrange];
bayesObject =bayesopt(@(tbl)$mdlfun(tbl),var,...
'MaxObjectiveEvaluations',50)
"""
```