error for crossval function

Hi

I get an error for the following code:

esti = @(x,y)(lasso(x,y))

>> A = crossval(esti,training(:,end-1),training(:,end))

Error using crossval>evalFun (line 480) The function '@(x,y)(lasso(x,y))' generated the following error: Too many input arguments.

Error in crossval>getFuncVal (line 497) funResult = evalFun(funorStr,arg(:));

Error in crossval (line 343) funResult = getFuncVal(1, nData, cvp, data, funorStr, []);

why is that? feval works for the same arguments

[Geoff Hayes]

The error message is telling you that too many (more than two) input parameters are being passed to the esti function (which only allows for two inputs). Looking at the documentation for crossval, if the call is

 vals = crossval(fun,X)

then fun is a function handle to a function with two inputs. The final example indicates that if the function call is

 cfMat = crossval(f,X,y,...)

which is similar to yours, then the f must be a handle to a function that takes four inputs - the first two being the training subsets for X and Y, and the latter two for the test subsets of X and Y.

You will have to adjust your call to crossval to do something similar. What are you hoping to achieve by passing the two training inputs with the lasso function?

[MiauMiau]

Well, I was doing the fitting with lasso function and wanted to perform then crossvalidation on my dataset. I understand now that I write a function which would take care of applying the fitting (lasso) to the data splited by crossval, so I wrote an anonymous function which I pass to the crossval, whereby the annonymous function now applies lasso to the splitted datasets and in my case returns the MSE. Thanks for your inputs!