Tivadar Danka

Ok, now I know what is wrong, it has been right in front of me :) The classifier in the example of @zbrasseaux is ``` classifier = KerasClassifier(load_model('./0.7917.h5')) ``` This...

Hi! `only_new=True` will train the model on the data which is passed to it in that function call. Traditionally, when active learning was used in combination with more classical methods...

I see the problem, although I am not sure what would be the optimal solution. In a sense, this problem holds for all models in modAL. I am also unsure...

Hi! Sure, this sounds like an useful uncertainty function! I would be happy if you could add it. Do you have any literature references using this method? I have a...

Hi! You need to use the scikit-learn wrapper for Keras. If the Keras built-in scikit-learn wrapper works with the regressor, it should work in modAL. Let me know if there...

Come to think of it, a neural network based regressor may not have a way to estimate the prediction probabilities, hence no `predict_proba` method by default. It can be done...

You can definitely use modAL. You just need to implement a `predict_proba` method for your custom estimator, but it will be perfectly usable. There is an entire page in the...

In general, Bayesian optimization is done with using a Gaussian process to model your quantity, so this is what the `optimizer_EI` and other functions suggest. Regarding 2. and 3.: In...

Hi! Sorry for the late answer, I was not available until now. 1) Indeed, PyTorch models would work with skorch in theory, although it is not extensively tested. It would...

Regarding the ```Committee``` class, I am thinking about replacing it completely by using estimators from the [mlens package](https://github.com/flennerhag/mlens/). There are some technical details to be worked out, but overall they...