auto-sklearn
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automl
Automated Machine Learning with scikit-learn
[Question] Understanding the models I need help with the following questions: **Name of the columns ** 1. I want to find out the names of the columns finalized after the...
# Short Question Description Is it possible to change the hyper-parameter space of an algorithm (such as PCA), so that it is restricted or enlargedd in respect to the default...
The following PR (part of #1351) proposes the following changes for _PredictScorer, _ProbaScorer, and _TresholdScorer as part of the ``test_metrics.py``. Using the guidance present, I have used pytests to make...
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As this requires pickling the data, which adds unnecessary memory costs. Most likely, loading the data manager is also not necessary in the SMBO class (which would also save us...
## Describe the bug ## The `fit`-method of the AutoSklearn2Classifier contains a parameter `metric`, which is not used, and probably should not be there due to the according parameter in...
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...
## Describe the bug ## The AutoSklearnClassifier results in an error concerning pynisher when using versions: pynisher 1.0 and auto-sklearn 0.14.6. Earlier pynisher versions are working fine. I am not...
Does auto-sklearn support incremental learning or partial_fit? when the dataset is too big for the RAM, (About 230+GB, although I can store it in a list, there's not enough memory...
