Metadata-Version: 2.1
Name: auto-sklearn
Version: 0.12.0
Summary: Automated machine learning.
Home-page: https://automl.github.io/auto-sklearn
Author: Matthias Feurer
Author-email: feurerm@informatik.uni-freiburg.de
License: BSD
Description: # auto-sklearn
        
        auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
        
        Find the documentation [here](http://automl.github.io/auto-sklearn/)
        
        ## Automated Machine Learning in four lines of code
        
        ```python
        import autosklearn.classification
        cls = autosklearn.classification.AutoSklearnClassifier()
        cls.fit(X_train, y_train)
        predictions = cls.predict(X_test)
        ```
        
        ## Relevant publications
        
        Efficient and Robust Automated Machine Learning  
        Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter  
        Advances in Neural Information Processing Systems 28 (2015)  
        http://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf
        
        Auto-Sklearn 2.0: The Next Generation  
        Authors: Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer and Frank Hutter  
        arXiv:2007.04074 [cs.LG], 2020
        https://arxiv.org/abs/2007.04074
        
        ## Status
        
        Status for master branch
        
        [![Build Status](https://travis-ci.org/automl/auto-sklearn.svg?branch=master)](https://travis-ci.org/automl/auto-sklearn)
        [![Code Health](https://landscape.io/github/automl/auto-sklearn/master/landscape.png)](https://landscape.io/github/automl/auto-sklearn/master)
        [![codecov](https://codecov.io/gh/automl/auto-sklearn/branch/master/graph/badge.svg)](https://codecov.io/gh/automl/auto-sklearn)
        
        Status for development branch
        
        [![Build Status](https://travis-ci.org/automl/auto-sklearn.svg?branch=development)](https://travis-ci.org/automl/auto-sklearn)
        [![Code Health](https://landscape.io/github/automl/auto-sklearn/development/landscape.png)](https://landscape.io/github/automl/auto-sklearn/development)
        [![codecov](https://codecov.io/gh/automl/auto-sklearn/branch/development/graph/badge.svg)](https://codecov.io/gh/automl/auto-sklearn)
        
Platform: Linux
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: examples
Provides-Extra: docs
