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Ravin Kohli: fix bug in backend next_num_run (#203)
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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: ad8f043e67f31d900fdc9a0563a66d13
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config: d264da413b5af690d82f5831743f25df
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refactor_development_regularization_cocktails/_modules/autoPyTorch/api/tabular_classification.html

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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>autoPyTorch.api.tabular_classification &#8212; AutoPyTorch 0.0.3 documentation</title>
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<link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" />
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<link rel="stylesheet" href="../../../_static/bootstrap-sphinx.css" type="text/css" />
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<link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
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<link rel="stylesheet" type="text/css" href="../../../_static/bootstrap-sphinx.css" />
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<link rel="stylesheet" type="text/css" href="../../../_static/gallery.css" />
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<link rel="stylesheet" type="text/css" href="../../../_static/gallery-rendered-html.css" />
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<script id="documentation_options" data-url_root="../../../" src="../../../_static/documentation_options.js"></script>
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<script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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<script src="../../../_static/jquery.js"></script>
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<p>
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&copy; Copyright 2014-2019, Machine Learning Professorship Freiburg.<br/>
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Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
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Created using <a href="http://sphinx-doc.org/">Sphinx</a> 4.0.1.<br/>
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refactor_development_regularization_cocktails/_modules/index.html

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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Overview: module code &#8212; AutoPyTorch 0.0.3 documentation</title>
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<link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
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<link rel="stylesheet" href="../_static/bootstrap-sphinx.css" type="text/css" />
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<link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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<link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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<link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
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<script id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
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<script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
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<script src="../_static/jquery.js"></script>
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</p>
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&copy; Copyright 2014-2019, Machine Learning Professorship Freiburg.<br/>
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Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
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Created using <a href="http://sphinx-doc.org/">Sphinx</a> 4.0.1.<br/>
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refactor_development_regularization_cocktails/_sources/advanced_tabular/example_custom_configuration_space.rst.txt

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.. code-block:: none
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<smac.runhistory.runhistory.RunHistory object at 0x7fa65ea0d7f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7f35a7c0b940> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0022118091583251953, budget=0), TrajEntry(train_perf=0.16959064327485385, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.00197601318359375, budget=0), TrajEntry(train_perf=0.16959064327485385, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'OneHotEncoder'
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=15.02844500541687, wallclock_time=16.55308246612549, budget=5.555555555555555)]
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{'accuracy': 0.8670520231213873}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:-------------------------------------------------------------|---------:|
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| 0 | None | CatBoostClassifier | 0.34 |
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| 1 | None | RFClassifier | 0.24 |
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| 2 | SimpleImputer,OneHotEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.14 |
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| 3 | None | ExtraTreesClassifier | 0.1 |
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| 4 | None | LGBMClassifier | 0.08 |
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| 5 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
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| 6 | None | SVC | 0.02 |
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| 7 | None | KNNClassifier | 0.02 |
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<smac.runhistory.runhistory.RunHistory object at 0x7fa65ee32b50> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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, ta_runs=1, ta_time_used=12.787853240966797, wallclock_time=14.251850366592407, budget=5.555555555555555)]
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{'accuracy': 0.8728323699421965}
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| | Preprocessing | Estimator | Weight |
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|---:|:----------------|:---------------------|---------:|
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| 0 | None | ExtraTreesClassifier | 0.4 |
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| 1 | None | RFClassifier | 0.24 |
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| 2 | None | LGBMClassifier | 0.2 |
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| 3 | None | KNNClassifier | 0.12 |
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| 4 | None | CatBoostClassifier | 0.04 |
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<smac.runhistory.runhistory.RunHistory object at 0x7f35a7c0bfa0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'NoEncoder'
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001974344253540039, budget=0), TrajEntry(train_perf=0.2222222222222222, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001708984375, budget=0), TrajEntry(train_perf=0.2222222222222222, incumbent_id=1, incumbent=Configuration:
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=9.633345603942871, wallclock_time=11.128498792648315, budget=5.555555555555555)]
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, ta_runs=1, ta_time_used=8.091186046600342, wallclock_time=9.551165580749512, budget=5.555555555555555)]
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{'accuracy': 0.8554913294797688}
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| | Preprocessing | Estimator | Weight |
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|---:|:----------------------------------------------------|:-------------------------------------------------------------|---------:|
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| 0 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.7 |
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| 1 | None | RFClassifier | 0.1 |
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| 2 | None | CatBoostClassifier | 0.06 |
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| 3 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 4 | None | LGBMClassifier | 0.04 |
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| 5 | None | ExtraTreesClassifier | 0.04 |
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| 6 | None | SVC | 0.02 |
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| | Preprocessing | Estimator | Weight |
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|---:|:----------------------------------------------------|:----------------------------------------------------------------|---------:|
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| 0 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.4 |
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| 1 | None | CatBoostClassifier | 0.16 |
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| 2 | SimpleImputer,NoEncoder,Normalizer,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.14 |
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| 3 | None | LGBMClassifier | 0.1 |
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| 4 | None | ExtraTreesClassifier | 0.08 |
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| 5 | None | RFClassifier | 0.06 |
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| 6 | None | SVC | 0.04 |
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| 7 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 11 minutes 39.384 seconds)
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**Total running time of the script:** ( 11 minutes 40.879 seconds)
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.. _sphx_glr_download_advanced_tabular_example_custom_configuration_space.py:

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