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Ravin Kohli: [FIX] release docs (#453)
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master/_sources/examples/20_basics/example_image_classification.rst.txt

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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ../datasets/FashionMNIST/raw/train-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ../datasets/FashionMNIST/raw/train-labels-idx1-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ../datasets/FashionMNIST/raw/t10k-images-idx3-ubyte.gz
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________________________________________
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Configuration(values={
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'image_augmenter:GaussianBlur:use_augmenter': False,
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'image_augmenter:GaussianNoise:sigma_offset': 2.16870839870273,
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'image_augmenter:GaussianNoise:use_augmenter': True,
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'image_augmenter:GaussianNoise:use_augmenter': False,
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'image_augmenter:RandomAffine:use_augmenter': False,
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'image_augmenter:RandomCutout:p': 0.4136881910603881,
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'image_augmenter:RandomCutout:use_augmenter': True,
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'image_augmenter:RandomCutout:use_augmenter': False,
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'image_augmenter:Resize:use_augmenter': False,
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'image_augmenter:ZeroPadAndCrop:percent': 0.426471061733336,
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'image_augmenter:ZeroPadAndCrop:percent': 0.03143837122294435,
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'normalizer:__choice__': 'NoNormalizer',
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})
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.. _sphx_glr_download_examples_20_basics_example_image_classification.py:

master/_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 0x7f11a36ddcd0>
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f3d3a092850>
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{'accuracy': 0.8728323699421965}
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| | Preprocessing | Estimator | Weight |
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|---:|:--------------------------------------------------------------------------------|:----------------------------------------------------------|---------:|
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| 0 | None | CBLearner | 0.68 |
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| 1 | SimpleImputer,Variance Threshold,NoCoalescer,OneHotEncoder,MinMaxScaler,FastICA | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.28 |
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| 2 | SimpleImputer,Variance Threshold,NoCoalescer,NoEncoder,StandardScaler,PCA | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 3 | None | ETLearner | 0.02 |
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{'accuracy': 0.8670520231213873}
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| | Preprocessing | Estimator | Weight |
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|---:|:--------------------------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
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| 0 | SimpleImputer,Variance Threshold,NoCoalescer,OneHotEncoder,MinMaxScaler,FastICA | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.56 |
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| 1 | SimpleImputer,Variance Threshold,MinorityCoalescer,OneHotEncoder,Normalizer,KernelPCA | embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.38 |
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| 2 | SimpleImputer,Variance Threshold,NoCoalescer,NoEncoder,StandardScaler,PCA | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 3 | None | CBLearner | 0.02 |
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| 4 | None | SVMLearner | 0.02 |
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Dataset name: Australian
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Number of successful target algorithm runs: 23
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Number of target algorithms that exceeded the time limit: 1
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.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:

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

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<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f123bc83070>
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| 2 | SimpleImputer,Variance Threshold,NoCoalescer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.1 |
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| 3 | None | LGBMLearner | 0.04 |
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Dataset name: 890d39cf-08d1-11ed-89e8-31427268e3f1
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.. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:

master/_sources/examples/20_basics/example_time_series_forecasting.rst.txt

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.. _sphx_glr_download_examples_20_basics_example_time_series_forecasting.py:

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

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**12:08.647** 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``) | 05:42.804 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:39.188 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:24.323 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:20.185 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_time_series_forecasting.py` (``example_time_series_forecasting.py``) | 01:03.754 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_time_series_forecasting.py` (``example_time_series_forecasting.py``) | 01:04.055 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:06.630 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:05.219 | 0.0 MB |
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+----------------------------------------------------------------------------------------------------------------+-----------+--------+

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

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

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[ERROR] [2022-07-21 09:12:53,688:asyncio.events]
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[ERROR] [2022-07-21 09:12:53,701:asyncio.events]
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{'accuracy': 0.8439306358381503}
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Dataset name: 894fd3cb-08d4-11ed-89e8-31427268e3f1
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Number of crashed target algorithm runs: 7
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master/_sources/examples/40_advanced/example_pass_feature_types.rst.txt

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

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