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Francisco Rivera Valverde: [FIX] Update Readme (#208)
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‎development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip‎

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‎development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip‎

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‎development/_images/sphx_glr_example_visualization_001.png‎

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‎development/_images/sphx_glr_example_visualization_thumb.png‎

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

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@@ -89,15 +89,13 @@ 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: 2.8862227392183475
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image_augmenter:GaussianBlur:sigma_offset, Value: 0.14783354362828238
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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:GaussianBlur:use_augmenter, Value: False
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image_augmenter:GaussianNoise:sigma_offset, Value: 0.9350664188119167
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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:p, Value: 0.9039858752964893
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image_augmenter:RandomCutout:use_augmenter, Value: True
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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: 0.47790214926487035
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image_augmenter:ZeroPadAndCrop:percent, Value: 0.2883176736666994
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normalizer:__choice__, Value: 'ImageNormalizer'
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Fitting the pipeline...
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 9.211 seconds)
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**Total running time of the script:** ( 0 minutes 7.534 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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@@ -36,7 +36,7 @@ with AutoPyTorch
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.. code-block:: none
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<smac.runhistory.runhistory.RunHistory object at 0x7efe6e2801f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7f3d47b451f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 64
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -68,7 +68,7 @@ with AutoPyTorch
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scaler:__choice__, Value: 'StandardScaler'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0016982555389404297, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0019197463989257812, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 64
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -100,7 +100,7 @@ with AutoPyTorch
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scaler:__choice__, Value: 'StandardScaler'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=4.407171964645386, wallclock_time=5.8355560302734375, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=2, incumbent=Configuration:
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, ta_runs=1, ta_time_used=5.061821699142456, wallclock_time=6.486589670181274, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=2, incumbent=Configuration:
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data_loader:batch_size, Value: 224
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:Nystroem:kernel, Value: 'cosine'
@@ -158,7 +158,7 @@ with AutoPyTorch
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scaler:__choice__, Value: 'NoScaler'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=8, ta_time_used=69.60557818412781, wallclock_time=85.80548787117004, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=3, incumbent=Configuration:
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, ta_runs=8, ta_time_used=74.99343538284302, wallclock_time=92.06234908103943, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=3, incumbent=Configuration:
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data_loader:batch_size, Value: 64
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -190,7 +190,7 @@ with AutoPyTorch
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scaler:__choice__, Value: 'StandardScaler'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=11, ta_time_used=91.70410537719727, wallclock_time=115.25409579277039, budget=16.666666666666664)]
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, ta_runs=11, ta_time_used=99.09096908569336, wallclock_time=123.97066354751587, budget=16.666666666666664)]
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{'accuracy': 0.8670520231213873}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:-------------------------------------------------------------------|---------:|
@@ -283,7 +283,7 @@ with AutoPyTorch
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 6 minutes 1.585 seconds)
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**Total running time of the script:** ( 6 minutes 2.932 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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@@ -36,7 +36,7 @@ with AutoPyTorch
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.. code-block:: none
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<smac.runhistory.runhistory.RunHistory object at 0x7efe5dd45640> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7f3d2f654f40> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 64
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -67,7 +67,7 @@ with AutoPyTorch
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optimizer:__choice__, Value: 'AdamOptimizer'
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scaler:__choice__, Value: 'StandardScaler'
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.002702951431274414, budget=0), TrajEntry(train_perf=0.4562578216938723, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0018334388732910156, budget=0), TrajEntry(train_perf=0.37478272821074954, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 64
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
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optimizer:__choice__, Value: 'AdamOptimizer'
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scaler:__choice__, Value: 'StandardScaler'
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=3.7996127605438232, wallclock_time=7.115498781204224, budget=5.555555555555555)]
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{'r2': 0.8989991356994216}
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, ta_runs=1, ta_time_used=4.07157826423645, wallclock_time=7.617934226989746, budget=5.555555555555555)]
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{'r2': 0.9199487836494068}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
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| 0 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.66 |
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| 1 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.24 |
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| 2 | SimpleImputer,OneHotEncoder,Normalizer,Nystroem | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
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| 3 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 4 | SimpleImputer,OneHotEncoder,MinMaxScaler,PowerTransformer | embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 0 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.58 |
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| 1 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.34 |
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| 2 | SimpleImputer,OneHotEncoder,Normalizer,NoFeaturePreprocessing | embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 16.593 seconds)
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**Total running time of the script:** ( 5 minutes 27.729 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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**11:27.389** total execution time for **examples_20_basics** files:
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**11:38.195** total execution time for **examples_20_basics** files:
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 06:01.585 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 06:02.932 | 0.0 MB |
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:16.593 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:27.729 | 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``) | 00:09.211 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:07.534 | 0.0 MB |
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+--------------------------------------------------------------------------------------------------------------+-----------+--------+

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

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@@ -46,7 +46,7 @@ the search. Currently, there are two changes that can be made to the space:-
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.. code-block:: none
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<smac.runhistory.runhistory.RunHistory object at 0x7efe5dd23910> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7f3de34d1e50> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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encoder:__choice__, Value: 'OneHotEncoder'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001539468765258789, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0016281604766845703, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
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trainer:StandardTrainer:weighted_loss, Value: True
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=5.083964586257935, wallclock_time=6.599992752075195, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=2, incumbent=Configuration:
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, ta_runs=1, ta_time_used=5.233897686004639, wallclock_time=6.7086405754089355, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=2, incumbent=Configuration:
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trainer:StandardTrainer:weighted_loss, Value: False
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=12, ta_time_used=144.61285161972046, wallclock_time=170.217591047287, budget=16.666666666666664)]
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, ta_runs=12, ta_time_used=156.25630235671997, wallclock_time=183.01676106452942, budget=16.666666666666664)]
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{'accuracy': 0.8554913294797688}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:----------------------------------------------------------|---------:|
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| 9 | SimpleImputer,OneHotEncoder,Normalizer,NoFeaturePreprocessing | embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 10 | None | KNNClassifier | 0.02 |
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| 11 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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<smac.runhistory.runhistory.RunHistory object at 0x7efe4625d1f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7f3d4637ebb0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0013387203216552734, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001268625259399414, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
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, ta_runs=1, ta_time_used=4.217958927154541, wallclock_time=5.632348537445068, budget=5.555555555555555)]
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{'accuracy': 0.861271676300578}
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, ta_runs=1, ta_time_used=4.612675428390503, wallclock_time=6.106764793395996, 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 | None | CatBoostClassifier | 0.72 |
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| 0 | None | CatBoostClassifier | 0.74 |
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| 1 | None | SVC | 0.08 |
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| 2 | None | ExtraTreesClassifier | 0.06 |
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| 3 | None | KNNClassifier | 0.06 |
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| 4 | None | RFClassifier | 0.04 |
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| 5 | SimpleImputer,NoEncoder,MinMaxScaler,KitchenSink | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 2 | None | KNNClassifier | 0.06 |
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| 3 | None | RFClassifier | 0.04 |
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| 4 | None | ExtraTreesClassifier | 0.04 |
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| 5 | SimpleImputer,NoEncoder,MinMaxScaler,NoFeaturePreprocessing | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 6 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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**Total running time of the script:** ( 11 minutes 38.221 seconds)
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**Total running time of the script:** ( 11 minutes 34.818 seconds)
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.. _sphx_glr_download_examples_40_advanced_example_custom_configuration_space.py:

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