auto-sklearn
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automl
Automated Machine Learning with scikit-learn
For example, when using KMeans, input some data that already has labels to assist in clustering or initialize the `cluster_centers_` ? Thanks and look forward to your reply.
I have tried to print the models composing the best ensemble with `show_models()`, but it fails if a `k_nearest_neighbours_regressor` is one of them. Is this due to this component not...
Hi, I have seen that stopping criterion can be changed to number of evaluations using smac_scenario_args 'runcount_limit' param ([451](https://github.com/automl/auto-sklearn/issues/451)) or limited by cost value using callback function ([Early stopping and...
## Describe the bug ## When building extensions to auto-sklearn, one has to "register" them with `.add_components` I'm building a library that surrounds auto-sklearn with various extensions, and I provide...
Enhancement [svm.OneClassSVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM), [svm.NuSVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC), [svm.NuSVR](https://scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html#sklearn.svm.NuSVR), [svm.SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC) and [svm.SVR](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html#sklearn.svm.SVR) now expose n_iter_, the number of iterations of the libsvm optimization routine. https://github.com/scikit-learn/scikit-learn/pull/21408 by [Juan Martín Loyola](https://github.com/jmloyola). Mentioned in #1611 With this parameter...
Enhancement Adds encoded_missing_value to [preprocessing.OrdinalEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html#sklearn.preprocessing.OrdinalEncoder) to configure the encoded value for missing data. https://github.com/scikit-learn/scikit-learn/pull/21988 by [Thomas Fan](https://github.com/thomasjpfan). Mentioned in #1611 Could help simplify code a little bit as I think...
Feature [preprocessing.OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder) now supports grouping infrequent categories into a single feature. Grouping infrequent categories is enabled by specifying how to select infrequent categories with min_frequency or max_categories. https://github.com/scikit-learn/scikit-learn/pull/16018 by [Thomas...
[ensemble.HistGradientBoostingRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor) for modelling quantiles. The quantile level can be specified with the new parameter quantile. https://github.com/scikit-learn/scikit-learn/pull/21800 and https://github.com/scikit-learn/scikit-learn/pull/20567 by [Christian Lorentzen](https://github.com/lorentzenchr). Mentioned in #1611 This could be investigated as an...
# cant fit model with AutoMLRegression ``` from autosklearn.regression import AutoSklearnRegressor reg = AutoSklearnRegressor(time_left_for_this_task=5*60, per_run_time_limit=30, n_jobs=8) reg.fit(X=X_train, y=y_train) ``` this my log ``` ValueError Traceback (most recent call last) Input...
