Answered
How to correct the error - ClassificationSVM
FITCSVM does not have an argument named 'showplot'. When I run your original code in R2018a I get this: Error using cla...

oltre un anno ago | 0

Answered
How import keras model converted by yolov3 weights to matlab?
2018a Neural Network Toolbox does not support networks with more than 1 input or output layer

oltre un anno ago | 0

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TreeBagger parameter tuning for classification
The following works for me in R2018a. It predicts 'Cylinders' (3 classes) and it calls oobError to get the misclassification rat...

oltre un anno ago | 1

Answered
Is 'bayesopt' such a poor optimizer or am I doing something wrong?
I think it's actually a hard problem to find the global minimum of this function. I wonder if you have tried any other optimizer...

oltre un anno ago | 1

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Answered
For Bayesian optimisation performed by the function "bayesobt", how can I change the covariance function? and how to change its hyper-parameters, i.e. Length scale and signal variance?
You can change the KernelFunction used in the GP that models the objective function. To do that, you will need to edit the sourc...

oltre un anno ago | 0

Answered
Help req. in using fitcsvm()
(1) Yes that's right. In that case it will optimize BoxConstraint and KernelScale. (2) svmmod contains the SVM trained on the...

oltre un anno ago | 0

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Answered
How can I initialise ''bayesopt'' when I use multiple workers?
Hi Omar, This is a known bug that was fixed in version R2018a. To fix this in R2017b, you'll need to replace 2 source files i...

oltre un anno ago | 1

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Answered
Finding probability distributions associated with a cross-validated svm using bayesopt
To get posterior probabilities on a test set using a trained SVM, you can consult this Documentation page: <https://www.math...

circa 2 anni ago | 0

Answered
fitrsvm fails if epsilon is generated using a for loop
Can we simplify things a bit? Here's a version of your code that uses built-in validation instead of explicit loops. The fir...

circa 2 anni ago | 1

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Answered
bayesopt() fails to find any feasible solutions when feasible proportion of search space < ~ 10^-5 %
Gaussian Process-based constrained Bayesian optimization does not work well when the feasible region occupies such a small fract...

circa 2 anni ago | 0

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Answered
I am new on matlab and installed R2017B and preparing a project emotion based music player
In your posted code, I see a single call to 'fitcknn' and it is passed 3 arguments: c=fitcknn(test_feature,fea,group); f...

circa 2 anni ago | 0

Answered
Can bayesopt() be run without an objective function call?
How about this? * The objective function returns 0 but is never called. * The initial points are counted as objective evalua...

circa 2 anni ago | 0

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Answered
How to use Gaussian Process Regression with multidimension input with meanfunc?
I suggest using the <https://www.mathworks.com/help/stats/fitrgp.html?searchHighlight=fitrgp&s_tid=doc_srchtitle FITRGP> functio...

circa 2 anni ago | 0

Answered
How to check the kernel parameter values of a Gaussian process regression (GPR) model after training
You can see the kernel parameters like this: gprMdl.KernelInformation.KernelParameters By default, params(4) (KernelScal...

circa 2 anni ago | 0

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Answered
Is there a bug in Multidimensional Input to mhsample?
We now have on this page examples of <https://www.mathworks.com/matlabcentral/answers/164051-is-there-a-bug-in-multidimensional-...

circa 2 anni ago | 0

Answered
How robust is the Bayesian Optimization implementation on Matlab. Does the Gaussian Process Regression have a Maximum LIkelihood Selector for Kernel Parameter's and Mean Parameter similar to the sklearn Gaussian Process Regressio?
The 'bayesopt' function uses 'fitrgp' to do Gaussian Process regression. You can read all about it here: <https://www.mathworks....

circa 2 anni ago | 0

Answered
Is there a bug in Multidimensional Input to mhsample?
In the posted code, the problem is that the proposal distribution function 'proppdf' does not return a scalar probability densit...

circa 2 anni ago | 0

Answered
bayesopt() - where is the code for the Gaussian Proccess and kernel function?
Search for 'fitrgp' inside BayesianOptimization.m. That's the GP function that is used. <https://www.mathworks.com/help/stats/fi...

circa 2 anni ago | 0

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Answered
Make Bayesian Optimization (bayesopt) model positive
Just to add to Alan's answer, bayesopt uses a Gaussian Process model to model the objective function, and Gaussian processes are...

circa 2 anni ago | 0

Answered
Hyper-parameter Optimization
Actually, all of the variables are custom variables. They can be whatever you want. The objective function, which you write, get...

circa 2 anni ago | 1

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Code documentation neural networks
This might be more what you're looking for: <https://www.mathworks.com/help/nnet/deep-learning-training-from-scratch.html>

oltre 2 anni ago | 0

Answered
Baysian Optimisation. Any way of increasing the sample size of candidates solutions to satisfy XConstraintFunction in bayesopt()?
Unfortunately the API doesn't allow that, but you can assign into the Options object once you have one. The bayesopt function cr...

oltre 2 anni ago | 0

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Answered
Bug in bayesopt() function? Initial evaluation points table being incorrectly evaluated?
Hi Bob, You're running into a bug in bayesoptim.isInteger. You should be able to view that code by typing edit bayesoptim....

oltre 2 anni ago | 0

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Answered
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...

oltre 2 anni ago | 0

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Answered
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...

oltre 2 anni 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...

oltre 2 anni ago | 0

Answered
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...

oltre 2 anni ago | 1

Answered
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...

oltre 2 anni ago | 0

Answered
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...

oltre 2 anni ago | 0

Answered
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...

oltre 2 anni ago | 0

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