# Don Mathis

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**Content Feed**

How to correct the error - ClassificationSVM

svmtrain() was replaced by fitcsvm(), and fitcsvm does not have a 'showplot' argument. Making a 2D plot of data points and suppo...

12 månader ago | 0

How to solve the error when trying to convert a DAGNetwork to ONNX?

Hi, Unfortunately, this is a bug in the ONNX exporter. If you are able to edit your MATLAB source code, you can fix it as follo...

ungefär 2 år ago | 2

| accepted

Confused at best estimated feasible point from bayesopt?

Hi Daniel, Thank you for reporting this. This turned out to be a bug in how bayesopt calculates upper confidence intervals when...

mer än 2 år ago | 0

| accepted

'naivebayes' learner option fails when optimizing hyper-parameters for 'fitcecoc' function.

It's true that Naive Bayes is not supported for optimization via fitcecoc. But since Naive Bayes is already a multiclass classif...

mer än 2 år ago | 1

| accepted

How to do grid Search to optimize sigma using Matlab?

Nowadays you can just do this: load fisheriris bestModel = fitcecoc(meas, species, 'OptimizeHyperparameters','auto')

nästan 3 år ago | 0

Hyperparamter optimization - how to manually specify SVM kernel functions to try using optimizableVariable

You need to write 'KernelFunction', string(x.kernel), ...

ungefär 4 år ago | 0

| accepted

Hyperparameter optimization using bayesopt - what does 'Transform' value of 'log' do in optimizableVariable?

The Bayesian Optimization algorithm will model that variable on a log scale. The Gaussian Process model will fit a kernel scale ...

ungefär 4 år ago | 0

| accepted

Working with LSTM and Bayes Optimization

You might find this similar example useful: https://www.mathworks.com/matlabcentral/answers/457788-lstm-time-series-hyperparam...

ungefär 4 år ago | 0

SVM optimizer fails with large matrix

My guess is that it is trying to fit an SVm using the first set of hyperparameters it tried, and it's taking a long time. Try pu...

mer än 4 år ago | 0

Parallel bayesopt: what is the relationship between the number of iterations and number of workers?

For parallel bayesopt, the first column shown is actually the function evaluation number. It's not exactly right to call it an i...

mer än 4 år ago | 0

| accepted

How to re-train a model optimized by Bayesian optimization on new data?

Your current approach (explicitly passing the values that the optimization found) is the right way to do it. There is a faster/...

mer än 4 år ago | 4

| accepted

Hyperparameter Optimization in ECOC classifier: which loss function is used?

In this Doc section https://www.mathworks.com/help/stats/fitcecoc.html?searchHighlight=fitcecoc&s_tid=doc_srchtitle#d117e320264,...

mer än 4 år ago | 0

| accepted

Understanding and applying results of bayesopt

You already have access to some of those options (e.g., AcquisitionFunctionName) through fitrensemble, via the 'HyperparameterOp...

mer än 4 år ago | 1

Understanding and applying results of bayesopt

It looks like no new minima are being found, and that the model of the objective function is stabilizing, but it's not a good mo...

mer än 4 år ago | 1

| accepted

why exportONNXNetwork will add additional "Sub" in onnx, how to remove this layer in onnx?

The Sub operator is subtracting the mean image from the raw image input.

mer än 4 år ago | 0

Getting Error, "kernel function is not a valid parameter name".

Type help fitcsvm and I think you will see that the argument is spelled 'KernelFunction' not 'kernel_function' .

mer än 4 år ago | 1

| accepted

Duplicate points evaluated in Bayesian Optimization

It's true that re-evaluating a point when the function is deterministic adds no information. The duplication occurs because of a...

mer än 4 år ago | 0

| accepted

How does bayesian optimization and cross-validation work?

In each iteration of the optimization, fitrsvm is called with 5-fold crossvalidation, using a particular vector of hyperparamete...

mer än 4 år ago | 1

| accepted

How to check SVM model?

If you want your classifier to perform well on data with Gaussian noise added, I suggest training it on your original data with ...

nästan 5 år ago | 2

| accepted

Help solving error "Undefined function or variable 'objFcn'. with Bayesian Optimization Transfer Learning. How do I fix?

It looks like you named your variable ObjFcn but then passed it as objFcn. ObjFcn = makeObjFcn(imdsTrain,imdsValidation); Baye...

nästan 5 år ago | 0

| accepted

How to using bayesopt function for a GP model

It looks like you're basing your code on this example, which is a good starting point: https://www.mathworks.com/help/stats/baye...

nästan 5 år ago | 1

| accepted

The onnx model exported by exportONNXNetwork() is not the same as the result of running in opencv and Matlab?

Could it be that you're multiplying the test image by 1.0/255 before passing it to your imported network? Notice in the MATLAB e...

nästan 5 år ago | 0

Error when loading in Python an .onnx neural net exported via Matlab

I could not reproduce your error. The following works for me: In MATLAB: >> net = googlenet; >> filename = 'googleNet.onnx'; ...

nästan 5 år ago | 3

fitcecoc svm classifier error

You need to pass fitcecoc a templateSVM object to set an SVM hyperparameter, Mdl = fitcecoc(X_norm, Y, 'Learners', templateSVM(...

nästan 5 år ago | 0

objective function in Bayesian Optimization Algorithm like fitrsvm and fitrgp

This page says that the loss defaults to MSE. So that's the loss that's used in the log(1+cvloss) formula. Cross validated loss ...

nästan 5 år ago | 0

| accepted

LSTM time series hyperparameter optimization using bayesian optimization

Here's an example using a convolutional network instead of an LSTM network. Your LSTM case should look very similar: https://www...

nästan 5 år ago | 0

Fail to export net to ONNX

I don't think you'll be able to export 3d image networks until the support package supports it (expected later this year). If yo...

ungefär 5 år ago | 0

| accepted

Fail to export net to ONNX

Unfortunately, exporting 3D layers to ONNX is not yet supported.

ungefär 5 år ago | 0

How does bayesopt() optimise using categorical optimizable variables?

The bayesopt function uses a special technique to handle categorical variables. One-hot coding is not used. Instead, bayesopt en...

ungefär 5 år ago | 0

| accepted

RBF kernel in bayesopt

This other Answer shows how to edit the code to change the GP kernel function. Does this help? https://www.mathworks.com/matlab...

ungefär 5 år ago | 0