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Machine Learning and Deep Learning\u003c/span\u003e","Profiling","Tools","Machine Learning Framework","其他_机器学习与深度学习","Scheduling","Uncategorized","scikit-learn","超参数优化和AutoML","AI Projects: Step by Steps","Machine Learning","Libraries","Tools being explored","Library"],"sub_categories":["Bayesian Optimization","Others","Profiling",":snake: Python","\u003cspan id=\"head42\"\u003e3.5.1. Machine Learning\u003c/span\u003e","Performance (\u0026 Automated ML)","General Purpose Framework","Uncategorized","Library","Automated Machine Learning","Organisation \u0026 Communication Tools","3. Artificial Intelligence"],"readme":"# auto-sklearn\n\n**auto-sklearn** is an automated machine learning toolkit and a drop-in replacement for a [scikit-learn](https://scikit-learn.org) estimator.\n\nFind the documentation **[here](https://automl.github.io/auto-sklearn/)**. Quick links:\n  * [Installation Guide](https://automl.github.io/auto-sklearn/master/installation.html)\n  * [Releases](https://automl.github.io/auto-sklearn/master/releases.html)\n  * [Manual](https://automl.github.io/auto-sklearn/master/manual.html)\n  * [Examples](https://automl.github.io/auto-sklearn/master/examples/index.html)\n  * [API](https://automl.github.io/auto-sklearn/master/api.html)\n\n## auto-sklearn in one image\n\n![image](doc/images/askl_pipeline.png)\n\n## auto-sklearn in four lines of code\n\n```python\nimport autosklearn.classification\ncls = autosklearn.classification.AutoSklearnClassifier()\ncls.fit(X_train, y_train)\npredictions = cls.predict(X_test)\n```\n\n## Relevant publications\n\nIf you use auto-sklearn in scientific publications, we would appreciate citations.\n\n**Efficient and Robust Automated Machine Learning**\n*Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter*\nAdvances in Neural Information Processing Systems 28 (2015)\n\n[Link](https://papers.neurips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf) to publication.\n```\n@inproceedings{feurer-neurips15a,\n    title     = {Efficient and Robust Automated Machine Learning},\n    author    = {Feurer, Matthias and Klein, Aaron and Eggensperger, Katharina and Springenberg, Jost and Blum, Manuel and Hutter, Frank},\n    booktitle = {Advances in Neural Information Processing Systems 28 (2015)},\n    pages     = {2962--2970},\n    year      = {2015}\n}\n```\n\n----------------------------------------\n\n**Auto-Sklearn 2.0: The Next Generation**\n*Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer and Frank Hutter**\narXiv:2007.04074 [cs.LG], 2020\n\n[Link](https://arxiv.org/abs/2007.04074) to publication.\n```\n@article{feurer-arxiv20a,\n    title     = {Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning},\n    author    = {Feurer, Matthias and Eggensperger, Katharina and Falkner, Stefan and Lindauer, Marius and Hutter, Frank},\n    booktitle = {arXiv:2007.04074 [cs.LG]},\n    year      = {2020}\n}\n```\n\n----------------------------------------\n\nAlso, have a look at the blog on [automl.org](https://automl.org) where we regularly release blogposts.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautoml%2Fauto-sklearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fautoml%2Fauto-sklearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautoml%2Fauto-sklearn/lists"}