FelixNeutatz

Results 9 issues of FelixNeutatz

Dear all, I am a big fan of this library! Unfortunately, I am missing support for adversarial attacks on regression models. It seems that you already support regression: https://adversarial-robustness-toolbox.readthedocs.io/en/latest/modules/estimators/regression.html However,...

Hi everybody, I have a question about this line https://github.com/EmuKit/emukit/blob/9f6763f8a0b689b0cd05b64dbdbe27ba6d7953c3/integration_tests/emukit/bayesian_optimization/test_unknown_constraints_bayesian_optimization.py#L14 If I have a constraint x

Hi everybody, I am currently trying to extend AutoSklearn to support ML model constraints, such as model size, inference time, and training time. My idea is to adjust the loss...

enhancement

Dear all, I wrote a CustomRandomForest class that augments the hyperparameters with additional metadata features. The computation of the metadata features requires some computation. Therefore, the evaluation of the acquisition...

enhancement

Dear all, I would like to extend the question that was raised in the Issue https://github.com/tensorflow/privacy/issues/136 I would like to know how much worse is it to run a standard...

Dear all, I am really excited about this library. I wanted to try it out with a standard model, such as [BoostedTreesClassifier](https://www.tensorflow.org/api_docs/python/tf/estimator/BoostedTreesClassifier). Is there any way to change the underlying...

Dear all, I am wondering how greedy ensembling is implemented for cross-validation. I couldn't really find it in the code. Can anybody give me a hint? My idea of how...

documentation

Hi everybody, I printed the ensemble models and got the following output: ``` automl = AutoSklearn2Classifier() automl.fit(X_train_hold, y_train_hold, feat_type=feat_type) print(automl.show_models()) >> {5: { 'model_id': 5, 'rank': 1, 'cost': 0.4498021750477469, 'ensemble_weight':...

bug

Hi everybody, lately, I run into deadlocks with AutoSklearn where it just does not end running. When I cancel it, I get the following exception. It looks like it is...