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How to extract hyper parameters during Bayesian optimization
There are many hidden properties in the BayesianOptimization object that is returned by bayesopt. One of them is ObjectiveFcnGP,...

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My convolutional network doesn`t learn properly. Can someone explain why and give me some advice?
This question is over a year old but I'll post an answer anyway: It's a classic case of overfitting. Search for 'overfitting' ...

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Weight values from "importCaffeNetwork"
The weights are stored in the layers themselves. For example: >> network.Layers(5) ans = FullyConnectedLayer with properti...

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Keras TensorFlow importer: can't upload weights from .h5 file using importKerasNetwork.
It works for me when I use the latest R2018b update of the tensorflow-keras importer. What version of MATLAB are you using? And ...

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Why Training Set accuracy decrease dramatically after stopping the trainNetwork?
Maybe your minibatch size is too small. The accuracy drop may be due to batchnormalization layers getting finalized, during whic...

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Error using importKerasNetwork - Option to import Keras networks containing LSTM layers is not yet supported.
Support for importing LSTM layers from Keras started in R2018b.

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Importing Keras model to Matlab: LSTM layers is not yet supported.
Support for importing LSTM layers from Keras started in R2018b.

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Understanding bayesopt: 1: Why is the same point tested more than once? 2: Understanding acquisition function
I'm not completely sure, but I think the lack of exploration in your small example may be a kind of "model overconfidence". The ...

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MATLAB Dropout layer during prediciton
You could write yourself a custom dropout layer that does dropout in both the forward() and predict() methods. For dropout rate ...

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How does bayesopt fit a Gaussian process regression model to noisy data?
bayesopt uses fitrgp to fit the GP models, which assumes constant noise everywhere. https://www.mathworks.com/help/stats/bayesi...

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Min objective and function evaluations
Question 1: https://www.mathworks.com/help/stats/fitrtree.html#bt6cr84_sep_shared-HyperparameterOptimizationOptions Question 2:...

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fitrgp: hyperparamter optimization method maximum likelihood & cross-validation
The hyperparameters and the objective function are different in the 2 cases. When you don't pass 'OptimizeHyperparameters', fit...

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Dose matlab really support interoperability with the open source deep learning framework.
Try a = importONNXNetwork('resnet18.onnx', 'OutputLayerType', 'classification')

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I have 100 sensor nodes placed at coordinates (x and y) inside a 100*100 m2square field. I want to plot a heatmap showing proximity of all other locations to these sensor nodes
Is this closer to what you want? %% 100 points rng(0) xcord = rand(100,1)*100; ycord = rand(100,1)*100; xcordt = xcord'; y...

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Does the type of classifier make that much difference in feature selection in sequentialfs function?
I think in general it will make a difference which classifier you use, because different classifiers deterct different kinds of ...

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getting this error: "Error using importKerasNetwork (line 93) Unable to import layers from file 'model.h5' because it contains no 'model_config' attribute."
It's a file that contains weights only, without the architecture. You need to create it using model.save(), not model.save_weigh...

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What to set 'ClassNames' to when using importKerasNetwork() to import network and weights for a regression model?
There were a few updates to that support package after the initial release. Try downloading it and installing it again through t...

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How does k-fold cross validation work in KNN?
There is currently no automatic hyperparameter optimization in the classificationLearner. It just uses the hyperparameters you h...

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Difference fitrkernel and fitrsvm
The basic difference is that fitrsvm fits an exact SVM model, in the sense that it uses the exact kernel function and solves the...

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How does crossval (for k-fold CV) work in MATLAB after training a classifier?
The answer is that it divides the dataset into 10 folds and trains the model 10 times on 9 folds each time, using the remaining ...

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Slow bayesopt initialization in parallel computing
1. Your second idea was right: "each evaluation is computed on one worker, and 64 evaluations on their specific cores are comput...

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Expected Improvement Bayesian Optimization Plot
I think the parallel run just needs to see more points to fit a better model. The point at Sigma=0.4, Y=5.1 looks like a huge ou...

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neural network hyperparameter tuning
If you want a more complete workflow that also optimizes the learning rate, and tests the final model on your test set, you coul...

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[bug] importONNXNetwork fails to open file if path depends on "Add to Path" folder
This is a know limitation that is planned to be fixed in an upcoming ONNX support package release. Thanks

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How to use for loops for hyperparameter tuning using fitcnb
I think you accidentally concatenated your cell arrays together. Instead use curly braces: distributionoptions = {dist_1 dist_2...

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How do I find the parameters in discriminant learner of ensemble classification?
The property classificationEnsemble.Trained Contains the 30 individual Disciminant models that make up your ensemble. Yo...

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kfoldloss and regression machine learning like fitrsvm
When you call fitrsvm with 'OptimizeHyperparameters', the result is a single svm model, not a partitioned model with a kfoldLoss...

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Matlab: Error using classreg.learning.FitTemplate/fit with hyperparameter optimization of SVM
Maybe your use of 'RemoveDuplicates' is causing observations to be removed? I ran your code on some synthetic data that has n...

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How to fix coding method (e.g.,'onevsall') in performing hyperparameter optimzation in multi-class svm (i.e., fitcecoc.m)
You are right that the optimization overrides statically specified variables values. That's mentioned in <https://www.mathworks....

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Impossible to import .onnx with importONNXLayers
Those ONNX models are somewhat unusual in their use of the Reshape operator. We are actively working on supporting more ONNX ope...

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