auto-sklearn
auto-sklearn copied to clipboard
automl
Automated Machine Learning with scikit-learn
We currently have two methods for dataset size reduction, `precision` and `subsample`, introduced more clearly in PR #1250. However we have not implemented `precision` reduction with pandas dataframes as this...
Is there plan to support text features in addition to numeric and categorical? For example, apply CountVectorizer then TfIdfTtansformer? If that is intentionally left for user, what is the reason?...
Some of our tests follow the `unittest` structure of creating tests. While these are fine, we want to migrate our tests to be in the more functional style of `pytest`....
* EDIT: After some investigation, this appears to have less to do with the configurations and more with imputation. After trying to recreate the failures, it seems that `X` arrays...
As it stands, `AutoSklearnClassifier` does double-duty as an estimator (`fit`, `predict`) and hyperparameter search. Usually the latter is done with `GridSearchCV` or similar. The combined design is simpler for users,...
This issue collects several issues which are related to improving the config space. * #1189 * #1103 * #1101 * #1286 * #1283 * #770 * #741 * #689 *...
See here https://scikit-learn.org/dev/whats_new/v0.21.html#multiple-modules
I would like to use the geometric mean as a metric to optimize classification models trained with the fit() method. I thought that the autosklearn.metrics.make_scorer() would allow to define the...
Hello, auto-sklearn works great for my. But during training I often get messages like this: ``` /usr/local/lib/python3.6/dist-packages/sklearn/linear_model/_stochastic_gradient.py:557: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve...
## Describe the bug ## It appears auto-sklearn want's to delete the python temp dir versus using the provided directories. **Code Snippet** ``` automl = regression.AutoSklearnRegressor(tmp_folder='/users/jihh/automl/auto-sklearn/temp_housing/',output_folder='/users/jihh/automl/auto-sklearn/out_housing/',delete_tmp_folder_after_terminate=False) automl.fit(X_train, y_train) ``` **Error:**...
