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Ravin Kohli: [ADD] Docker publish workflow (#357)
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‎development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip

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‎development/_images/sphx_glr_example_plot_over_time_001.png

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‎development/_images/sphx_glr_example_plot_over_time_thumb.png

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‎development/_images/sphx_glr_example_visualization_001.png

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‎development/_sources/examples/20_basics/example_image_classification.rst.txt

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@@ -85,26 +85,23 @@ Image Classification
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Pipeline Random Config:
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________________________________________
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Configuration:
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image_augmenter:GaussianBlur:sigma_min, Value: 0.13562396958925949
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image_augmenter:GaussianBlur:sigma_offset, Value: 1.3443723730063544
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image_augmenter:GaussianBlur:sigma_min, Value: 2.1238678391388115
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image_augmenter:GaussianBlur:sigma_offset, Value: 2.7433341752045743
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image_augmenter:GaussianBlur:use_augmenter, Value: True
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image_augmenter:GaussianNoise:use_augmenter, Value: False
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image_augmenter:RandomAffine:rotate, Value: 253
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image_augmenter:RandomAffine:scale_offset, Value: 0.06623678136539649
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image_augmenter:RandomAffine:shear, Value: 20
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image_augmenter:RandomAffine:translate_percent_offset, Value: 0.14074315316194072
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image_augmenter:RandomAffine:use_augmenter, Value: True
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image_augmenter:GaussianNoise:sigma_offset, Value: 0.7675514433357813
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image_augmenter:GaussianNoise:use_augmenter, Value: True
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image_augmenter:RandomAffine:use_augmenter, Value: False
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image_augmenter:RandomCutout:use_augmenter, Value: False
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image_augmenter:Resize:use_augmenter, Value: True
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image_augmenter:ZeroPadAndCrop:percent, Value: 0.08687178181094835
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normalizer:__choice__, Value: 'NoNormalizer'
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image_augmenter:ZeroPadAndCrop:percent, Value: 0.45374000954443516
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normalizer:__choice__, Value: 'ImageNormalizer'
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Fitting the pipeline...
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________________________________________
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ImageClassificationPipeline
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________________________________________
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0-) normalizer:
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NoNormalizer
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ImageNormalizer
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1-) preprocessing:
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EarlyPreprocessing
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 6.306 seconds)
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.. _sphx_glr_download_examples_20_basics_example_image_classification.py:

‎development/_sources/examples/20_basics/example_tabular_classification.rst.txt

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.. code-block:: none
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f13fd2a7640>
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f7301a7bd30>
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 32.373 seconds)
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**Total running time of the script:** ( 5 minutes 33.018 seconds)
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.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:

‎development/_sources/examples/20_basics/example_tabular_regression.rst.txt

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.. code-block:: none
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<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f1499c19dc0>
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<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f739e466dc0>
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| 2 | None | LGBMLearner | 0.08 |
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| 3 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
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autoPyTorch results:
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Dataset name: e5ceea59-61b0-11ec-86af-87c16fe94cf8
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Dataset name: 19b66c31-6243-11ec-86ff-d727e2798537
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Optimisation Metric: r2
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Best validation score: 0.8644967965917701
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Number of target algorithm runs: 22
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Number of target algorithm runs: 23
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Number of successful target algorithm runs: 20
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Number of crashed target algorithm runs: 1
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Number of target algorithms that exceeded the time limit: 1
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Number of target algorithms that exceeded the time limit: 2
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Number of target algorithms that exceeded the memory limit: 0
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 33.565 seconds)
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**Total running time of the script:** ( 5 minutes 49.238 seconds)
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.. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:

‎development/_sources/examples/20_basics/sg_execution_times.rst.txt

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Computation times
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=================
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**11:13.012** total execution time for **examples_20_basics** files:
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**11:28.562** total execution time for **examples_20_basics** files:
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:33.565 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:49.238 | 0.0 MB |
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:32.373 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:33.018 | 0.0 MB |
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:07.073 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:06.306 | 0.0 MB |
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+

‎development/_sources/examples/40_advanced/example_custom_configuration_space.rst.txt

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.. code-block:: none
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f13f0d2d4f0>
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f72f4e29100>
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.. code-block:: none
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{'accuracy': 0.8670520231213873}
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{'accuracy': 0.8728323699421965}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:----------------------------------------------------------|---------:|
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| 0 | None | RFLearner | 0.44 |
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| 1 | None | ETLearner | 0.26 |
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| 2 | None | LGBMLearner | 0.1 |
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| 3 | None | SVMLearner | 0.08 |
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| 4 | None | KNNLearner | 0.08 |
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| 5 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 0 | None | ETLearner | 0.3 |
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| 1 | SimpleImputer,OneHotEncoder,Normalizer,PolynomialFeatures | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.22 |
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| 2 | None | RFLearner | 0.22 |
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| 3 | None | LGBMLearner | 0.12 |
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| 4 | None | SVMLearner | 0.06 |
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| 5 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 6 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 7 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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autoPyTorch results:
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Dataset name: 937ecba0-61b4-11ec-86af-87c16fe94cf8
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Dataset name: c616cf47-6246-11ec-86ff-d727e2798537
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Best validation score: 0.8596491228070176
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| 5 | None | SVMLearner | 0.04 |
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| 6 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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autoPyTorch results:
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Dataset name: fd0924ad-61b4-11ec-86af-87c16fe94cf8
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Dataset name: 2c2a2690-6247-11ec-86ff-d727e2798537
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**Total running time of the script:** ( 5 minutes 50.036 seconds)
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.. _sphx_glr_download_examples_40_advanced_example_custom_configuration_space.py:

‎development/_sources/examples/40_advanced/example_parallel_n_jobs.rst.txt

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{'accuracy': 0.8670520231213873}
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Dataset name: 8c502566-61b3-11ec-86af-87c16fe94cf8
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Dataset name: c5b1923f-6245-11ec-86ff-d727e2798537
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Number of target algorithm runs: 44
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Number of successful target algorithm runs: 36
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Number of target algorithm runs: 42
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Number of successful target algorithm runs: 34
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Number of crashed target algorithm runs: 6
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Number of target algorithms that exceeded the time limit: 2
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Number of target algorithms that exceeded the memory limit: 0
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**Total running time of the script:** ( 5 minutes 45.264 seconds)
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.. _sphx_glr_download_examples_40_advanced_example_parallel_n_jobs.py:

‎development/_sources/examples/40_advanced/example_plot_over_time.rst.txt

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.. _sphx_glr_download_examples_40_advanced_example_plot_over_time.py:

‎development/_sources/examples/40_advanced/example_resampling_strategy.rst.txt

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autoPyTorch results:
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Dataset name: ce32767f-61b5-11ec-86af-87c16fe94cf8
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.. _sphx_glr_download_examples_40_advanced_example_resampling_strategy.py:

‎development/_sources/examples/40_advanced/example_run_with_portfolio.rst.txt

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| 8 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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autoPyTorch results:
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.. _sphx_glr_download_examples_40_advanced_example_run_with_portfolio.py:

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