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Matthias Feurer: prepare release 0.12.2 (#1082)
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‎develop/.buildinfo‎

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: aa54c47b2cb5e87166c43e7879a27a90
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config: 884c0728f1dea38019eaffe6df15f82c
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tags: 645f666f9bcd5a90fca523b33c5a78b7

‎develop/_downloads/27f49b0e36fba2fe65360adcf060e098/2015_neurips_feurer_example.ipynb‎

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n# Feurer et al. (2015)\n\nA tutorial on how to get the datasets used in the paper introducing *Auto-sklearn* by Feurer et al..\n\nAuto-sklearn website: https://automl.github.io/auto-sklearn/master/\n\n## Publication\n\n| Efficient and Robust Automated Machine Learning\n| Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter\n| In *Advances in Neural Information Processing Systems 28*, 2015\n| Available at https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf\n"
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"\n# Feurer et al. (2015)\n\nA tutorial on how to get the datasets used in the paper introducing *Auto-sklearn* by Feurer et al..\n\nAuto-sklearn website: https://automl.github.io/auto-sklearn/\n\n## Publication\n\n| Efficient and Robust Automated Machine Learning\n| Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter\n| In *Advances in Neural Information Processing Systems 28*, 2015\n| Available at https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf\n"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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‎develop/_downloads/296bc5731c400ca6e06e54ecb9b84b5c/configure_logging.ipynb‎

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‎develop/_downloads/4076733b22158deda2a79e57d217b001/2018_kdd_rijn_example.ipynb‎

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‎develop/_downloads/42ecf9b9ca30a385452934aeb1a420d5/2018_neurips_perrone_example.ipynb‎

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‎develop/_downloads/4e36450a7c3d3fe8c9f4e71689c8e677/plot_svm_hyperparameters_tutorial.ipynb‎

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‎develop/_downloads/4ff7bd62b4b1b9012f431cd3c21d497d/study_tutorial.ipynb‎

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‎develop/_downloads/51e951fb65905058a563b0f066ec5771/2018_ida_strang_example.ipynb‎

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‎develop/_downloads/55fed401604e83ceb83e08221c96c779/fetch_evaluations_tutorial.ipynb‎

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‎develop/_downloads/763456abfe22344e6b6aed250579eddb/create_upload_tutorial.ipynb‎

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