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What is the difference between k-fold optimization and k-fold cross-validation in fitcecoc? Isn't it redundant?
I think it's fair to say that the returned model has been cross-validated, in the sense that it was chosen based on its cross-va...

6 years ago | 0

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Naive Bayes Posterior Probability
You can get the posterior probabilities from the second output of the predict method. See this page: http://www.mathworks.com/h...

6 years ago | 1

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Answered
Simulated annealing on a 3D matrix data set instead of a mathematical function?
Here's an illustration of how to do it with bayesopt. You would have your objective function call your external function (someho...

7 years ago | 0

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bayesopt: change the default kernel / options
bayesopt doesn't have a way to do that from the command line, but you can do it by editing the code. The only place where fitrgp...

7 years ago | 3

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Using Bayesopt for TreeBagger Classification
Here's a variation that doesn't use a function-within-a-function. Maybe it's easier to understand: load fisheriris X = m...

7 years ago | 0

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Using Bayesopt for TreeBagger Classification
How about something like this? Instead of crossval, it uses TreeBagger's ability to use the "out of bag" observations as validat...

7 years ago | 0

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bayesopt options pair: 'InitialX', {1x6} results in first cell-array entry taken as initial for all variables
Thanks for pointing this out. That's a bug, because bayesopt should not accept a cell array as the value for 'InitialX'. It expe...

7 years ago | 0

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Answered
Why it gives worse results when I use Genetic Algorithm for training NNs than when I use Back-propagation?
I think we should expect worse results with GA than with Backprop. Backpropagation training is a gradient-based minimization alg...

7 years ago | 0

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WHY CANNOT MATLAB POST SATISFACTORY EXAMPLES OF NN DESIGN USING GA ???
Greg, I posted an answer with corrected code in http://www.mathworks.com/matlabcentral/answers/100323 This is not a formal Do...

7 years ago | 0

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How can I use the Genetic Algorithm (GA) to train a Neural Network in Neural Network Toolbox?
The code posted by MathWorks Support Team on 18 Oct 2013 throws an error if you put it in a file and run it as-is, because the f...

7 years ago | 1

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i want to optimize a neural network parameters by genetic algorithm and i get below code from matlab support, but the result is very poor even for a very simple function. how can i improve the result and is there any better code for my porpuse?
In the code you posted, mse_test is not calculating mean squared error. Here is a corrected version that seems to work fine. Pas...

7 years ago | 0

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How to send a big data (loaded into datastore object) to a classifier in Matlab?
I think you need to pass tall arrays or a tall table to fitcnb. See the documentation here: http://www.mathworks.com/help/stats/...

7 years ago | 0

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Finding optimal regression tree using hyperparameter optimization
My guess is that your first run was worse because it was not run for enough iterations. The default MaxObjectiveEvaluations is 3...

7 years ago | 1

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Answered
prediction without prior fitting in GPR
Set the initial parameter values and also pass 'FitMethod','None' http://www.mathworks.com/help/stats/fitrgp.html?searchHighl...

7 years ago | 0

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how to group data points in matrix
out = [A floor(A/5)]

7 years ago | 0

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How do I change the properties of a model object, when the object is generated by a toolbox?
I think the properties you want to set are 'protected' which means that only methods of the class or subclasses can set them. Th...

7 years ago | 0

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How to get optimal tree when using random forest method
You could also try to find the best ensemble like this: fitcensemble(meas,species,'OptimizeHyperparameters','all') This ...

7 years ago | 0

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How to use Bayesian Optimization?
You need to pass Y into oobErrRF. Change its first line to function oobErr = oobErrRF(params,X,Y) And change the call on...

7 years ago | 0

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How to train a Naive Bayes classifier?
How about this? % Make a synthetic dataset STE = rand(84,1)*20; ZCR = randi(900,84,1); Category = [repmat({'unvoic...

7 years ago | 0

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What do the Distribution Parameters of fitcnb mean?
Here is the doc page for them: <http://www.mathworks.com/help/stats/classificationnaivebayes-class.html#property_d0e141114>

7 years ago | 0

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Answered
Classification problem parsed as regression problem when Split Criterion is supplied to fitcensemble
Thanks, I now see cases succeeding with 'GentleBoost' and 'gdi' together. This is a bug in the search space for hyperparamete...

7 years ago | 1

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Answered
How to best do cross-validation using fitensemble?
It doesn't make any difference in the models. The only difference is that with the first method you also get a single model trai...

7 years ago | 0

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Answered
Change objective function for hyperparameter optimization in regression ensembles
'fitrensemble' doesn't support MAE, but you can use 'TreeBagger' to do what you want. TreeBagger fits a random forest and suppor...

7 years ago | 1

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Answered
how to use cross-validation in fitrgp
Briefly: The first command specifies a holdout proportion for fitting a single model. The second command specifies the holdout p...

7 years ago | 3

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How to set arguments of 'fitrgp' while using 'bayesopt'?
You're right that bayesopt doesn't provide an interface for that. If you're willing to modify a source code file it can be done ...

7 years ago | 0

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Answered
Why does Support Vector Regression (fitrsvm) optimization result in poor performance ?
Maybe it's because the optimized SVR uses the default kernel function, which is 'linear'. If you include 'KernelFunction','gauss...

7 years ago | 0

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Answered
Hyper-parameter optimization for a custom kernel SVR with Bayesian optimization?
You'll need to use the bayesopt function to do that. There is an example of support vector classification on this page: http://w...

7 years ago | 0

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Optimization with continuous/integer parameters and constraints
The bayesopt function in the Statistics & Machine Learning Toolbox release R2016b can handle all of these problems. The trick...

7 years ago | 0

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Improvements of Random Search for Hyperparameter Optimization
You might have a look at the bayesopt function in the R2016b release.

7 years ago | 0

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Is it possible to change the objective function in fitctree(X,Y,'OptimizeHyperparameters','auto')?
You can't change the objective function used to optimize hyperparameters in fitctree. However, you can do grid search and ra...

7 years ago | 1