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14 changes: 7 additions & 7 deletions README.md
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# hyperopt-sklearn

[Hyperopt-sklearn](http://hyperopt.github.com/hyperopt-sklearn/) is
[Hyperopt](http://hyperopt.github.com/hyperopt)-based model selection among machine learning algorithms in
[scikit-learn](http://scikit-learn.org/).
[Hyperopt-sklearn](https://github.com/hyperopt/hyperopt-sklearn) is
[Hyperopt](https://github.com/hyperopt/hyperopt)-based model selection among machine learning algorithms in
[scikit-learn](https://scikit-learn.org/).

See how to use hyperopt-sklearn through [examples](http://hyperopt.github.io/hyperopt-sklearn/#documentation)
More examples can be found in the Example Usage section of the SciPy paper
See how to use hyperopt-sklearn through [examples](https://hyperopt.github.io/hyperopt-sklearn/#documentation).
More examples can be found in the Example Usage section of the SciPy paper:

Komer B., Bergstra J., and Eliasmith C. "Hyperopt-Sklearn: automatic hyperparameter configuration for Scikit-learn" Proc. SciPy 2014. http://conference.scipy.org/proceedings/scipy2014/pdfs/komer.pdf
Komer B., Bergstra J., and Eliasmith C. "Hyperopt-Sklearn: automatic hyperparameter configuration for Scikit-learn" Proc. SciPy 2014. https://proceedings.scipy.org/articles/Majora-14bd3278-006

## Installation

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Note that the `preprocessing` parameter in `HyperoptEstimator` is expecting a list, since various preprocessing steps can be chained together.
The generic search space functions `any_preprocessing` and `any_text_preprocessing` already return a list, but the others do not, so they should be wrapped in a list.
If you do not want to do any preprocessing, pass in an empty list `[]`.
If you do not want to do any preprocessing, pass in an empty list `[]`.
4 changes: 2 additions & 2 deletions setup.cfg
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platforms = Linux, OS-X, Windows
keywords = hyperopt, hyperparameter, sklearn
classifiers =
Development Status :: 1.0.3 - Alpha
Development Status :: 3 - Alpha
Intended Audience :: Education
Intended Audience :: Science/Research
Intended Audience :: Developers
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xgboost = xgboost>=2.0.0
lightgbm = lightgbm>=4.0.0
testing =
tox>=4.11.3
tox>=4.11.3
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