auto-sklearn
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automl
Automated Machine Learning with scikit-learn
I’m using 2.0. My [dataset](https://www.kaggle.com/competitions/home-credit-default-risk/data?select=application_train.csv) shape is 307511, 122. Of the 122 features, 106 are numerical, and 16 are categorical. I cannot get a metric score for the dataset I’m...
The components part of our codebase was written sometime ago, with older sklearn versions and before python typing was production ready. In general, some of these files need to be...
This PR improves ensemble construction speed as follows: - Enable each metric to pre-process predictions with a method called clean_predictions. With this method, the prediction of each individual model can...
**What?** Don't calculate the training loss unless required -- this helps with memory consumption in Auto-sklearn **Details** I found no strong reason to keep Y_actual_train -- maybe this is legacy....
Mention of possibility to improve auto-sklearn with [Intel(R) Extension for Scikit-learn*](https://github.com/intel/scikit-learn-intelex) in documentation. Partially solves https://github.com/automl/auto-sklearn/issues/1184 and https://github.com/automl/auto-sklearn/issues/1171.
Fixes #388 by adding a function `to_sklearn`. This is a first draft for the interface, and I'd be very happy about feedback. # TODOs * [ ] unit tests *...
This PR is a result of the initial discussion in Issue #1477 ## Changes I have added the following features as optional parameters (default behavior did not change) to ensemble...
Hello team, I'm doing some tests with autosklearn and I would like to know I can get/export a trained autosklearn model for production use. Could you please explain which is...
This is a pretty big PR aimed at doing a simple thing, remove `estimators.py` and `automl.py` from the mypy ignore list. In Progress, notes on changes are TODO. I'll resolve...