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nabenabe0928: [style] Remove prefix typing and adapt to google styl…
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18 changes: 8 additions & 10 deletions development/_sources/examples/20_basics/example_image_classification.rst.txt
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Expand Up @@ -85,19 +85,17 @@ Image Classification
Pipeline Random Config:
________________________________________
Configuration:
image_augmenter:GaussianBlur:sigma_min, Value: 0.12769072427273298
image_augmenter:GaussianBlur:sigma_offset, Value: 2.5621599409177107
image_augmenter:GaussianBlur:use_augmenter, Value: True
image_augmenter:GaussianBlur:use_augmenter, Value: False
image_augmenter:GaussianNoise:use_augmenter, Value: False
image_augmenter:RandomAffine:rotate, Value: 47
image_augmenter:RandomAffine:scale_offset, Value: 0.01145873263446795
image_augmenter:RandomAffine:shear, Value: 3
image_augmenter:RandomAffine:translate_percent_offset, Value: 0.320067960155265
image_augmenter:RandomAffine:rotate, Value: 328
image_augmenter:RandomAffine:scale_offset, Value: 0.26538653822859176
image_augmenter:RandomAffine:shear, Value: 43
image_augmenter:RandomAffine:translate_percent_offset, Value: 0.0013477722050754704
image_augmenter:RandomAffine:use_augmenter, Value: True
image_augmenter:RandomCutout:p, Value: 0.6949230971062553
image_augmenter:RandomCutout:p, Value: 0.9271524955899881
image_augmenter:RandomCutout:use_augmenter, Value: True
image_augmenter:Resize:use_augmenter, Value: True
image_augmenter:ZeroPadAndCrop:percent, Value: 0.16187446069157246
image_augmenter:ZeroPadAndCrop:percent, Value: 0.04276538172142241
normalizer:__choice__, Value: 'NoNormalizer'

Fitting the pipeline...
Expand Down Expand Up @@ -177,7 +175,7 @@ Image Classification
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 0 minutes 5.917 seconds)
**Total running time of the script:** ( 0 minutes 8.275 seconds)


.. _sphx_glr_download_examples_20_basics_example_image_classification.py:
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10 changes: 5 additions & 5 deletions development/_sources/examples/20_basics/example_tabular_classification.rst.txt
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Expand Up @@ -133,7 +133,7 @@ Search for an ensemble of machine learning algorithms
.. code-block:: none
<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7fc36cb418b0>
<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f91159b1e80>
Expand Down Expand Up @@ -162,7 +162,7 @@ Print the final ensemble performance

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7fc36c9ffd00> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7f91159b14f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -194,7 +194,7 @@ Print the final ensemble performance
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0014204978942871094, budget=0), TrajEntry(train_perf=0.14619883040935677, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0014147758483886719, budget=0), TrajEntry(train_perf=0.14619883040935677, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -226,7 +226,7 @@ Print the final ensemble performance
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=4.931585788726807, wallclock_time=5.967687129974365, budget=5.555555555555555)]
, ta_runs=1, ta_time_used=4.973806142807007, wallclock_time=6.012700080871582, budget=5.555555555555555)]
{'accuracy': 0.8670520231213873}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
Expand All @@ -247,7 +247,7 @@ Print the final ensemble performance
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 30.625 seconds)
**Total running time of the script:** ( 5 minutes 35.756 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:
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10 changes: 5 additions & 5 deletions development/_sources/examples/20_basics/example_tabular_regression.rst.txt
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Expand Up @@ -125,7 +125,7 @@ Search for an ensemble of machine learning algorithms
.. code-block:: none
<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7fc40537c4f0>
<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f91ae0714f0>
Expand Down Expand Up @@ -157,7 +157,7 @@ Print the final ensemble performance

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7fc40f5a27f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7f91b817eac0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -188,7 +188,7 @@ Print the final ensemble performance
optimizer:__choice__, Value: 'AdamOptimizer'
scaler:__choice__, Value: 'StandardScaler'
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0011060237884521484, budget=0), TrajEntry(train_perf=0.4945322850469632, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0013966560363769531, budget=0), TrajEntry(train_perf=0.4945322850469632, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -219,7 +219,7 @@ Print the final ensemble performance
optimizer:__choice__, Value: 'AdamOptimizer'
scaler:__choice__, Value: 'StandardScaler'
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=3.027116537094116, wallclock_time=4.058123350143433, budget=5.555555555555555)]
, ta_runs=1, ta_time_used=3.1266889572143555, wallclock_time=4.161885023117065, budget=5.555555555555555)]
{'r2': 0.9246659176848098}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
Expand All @@ -233,7 +233,7 @@ Print the final ensemble performance
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 41.831 seconds)
**Total running time of the script:** ( 5 minutes 38.186 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:
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8 changes: 4 additions & 4 deletions development/_sources/examples/20_basics/sg_execution_times.rst.txt
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Expand Up @@ -5,12 +5,12 @@

Computation times
=================
**11:18.373** total execution time for **examples_20_basics** files:
**11:22.217** total execution time for **examples_20_basics** files:

+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:41.831 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:38.186 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:30.625 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:35.756 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:05.917 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:08.275 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
38 changes: 19 additions & 19 deletions ...opment/_sources/examples/40_advanced/example_custom_configuration_space.rst.txt
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Expand Up @@ -46,7 +46,7 @@ the search. Currently, there are two changes that can be made to the space:-

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7fc36c7d0e50> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7f91153e0f40> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 32
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -80,7 +80,7 @@ the search. Currently, there are two changes that can be made to the space:-
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0013322830200195312, budget=0), TrajEntry(train_perf=0.2865497076023392, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001371145248413086, budget=0), TrajEntry(train_perf=0.2865497076023392, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 32
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -114,7 +114,7 @@ the search. Currently, there are two changes that can be made to the space:-
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=5.235500812530518, wallclock_time=6.2838451862335205, budget=5.555555555555555)]
, ta_runs=1, ta_time_used=5.30727219581604, wallclock_time=6.354439973831177, budget=5.555555555555555)]
{'accuracy': 0.861271676300578}
| | Preprocessing | Estimator | Weight |
|---:|:----------------|:------------|---------:|
Expand All @@ -123,7 +123,7 @@ the search. Currently, there are two changes that can be made to the space:-
| 2 | None | KNNLearner | 0.06 |
| 3 | None | ETLearner | 0.04 |
| 4 | None | RFLearner | 0.02 |
<smac.runhistory.runhistory.RunHistory object at 0x7fc36c043760> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7f91154d8130> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 32
encoder:__choice__, Value: 'NoEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -155,7 +155,7 @@ the search. Currently, there are two changes that can be made to the space:-
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0011556148529052734, budget=0), TrajEntry(train_perf=0.17543859649122806, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0014290809631347656, budget=0), TrajEntry(train_perf=0.17543859649122806, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 32
encoder:__choice__, Value: 'NoEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -187,21 +187,21 @@ the search. Currently, there are two changes that can be made to the space:-
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=3.6312057971954346, wallclock_time=4.679858684539795, budget=5.555555555555555)]
{'accuracy': 0.8554913294797688}
, ta_runs=1, ta_time_used=3.5893008708953857, wallclock_time=4.6382224559783936, budget=5.555555555555555)]
{'accuracy': 0.8323699421965318}
| | Preprocessing | Estimator | Weight |
|---:|:--------------------------------------------------------------|:-------------------------------------------------------------------|---------:|
| 0 | SimpleImputer,NoEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.42 |
| 1 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.16 |
| 2 | None | CBLearner | 0.08 |
| 3 | SimpleImputer,NoEncoder,Normalizer,PowerTransformer | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 4 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 5 | SimpleImputer,NoEncoder,NoScaler,KitchenSink | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 6 | None | RFLearner | 0.04 |
| 7 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 8 | None | LGBMLearner | 0.02 |
| 9 | None | ETLearner | 0.02 |
| 10 | None | SVMLearner | 0.02 |
| 0 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.36 |
| 1 | None | CBLearner | 0.16 |
| 2 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.12 |
| 3 | None | RFLearner | 0.08 |
| 4 | None | SVMLearner | 0.08 |
| 5 | None | LGBMLearner | 0.04 |
| 6 | None | ETLearner | 0.04 |
| 7 | SimpleImputer,NoEncoder,Normalizer,PowerTransformer | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 8 | SimpleImputer,NoEncoder,NoScaler,KitchenSink | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 9 | SimpleImputer,NoEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 10 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 11 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
Expand Down Expand Up @@ -331,7 +331,7 @@ the search. Currently, there are two changes that can be made to the space:-
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 55.329 seconds)
**Total running time of the script:** ( 6 minutes 3.169 seconds)


.. _sphx_glr_download_examples_40_advanced_example_custom_configuration_space.py:
Expand Down
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