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Francisco Rivera Valverde: Fix_248 (#263)
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24 changes: 12 additions & 12 deletions development/_sources/examples/20_basics/example_image_classification.rst.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -85,27 +85,27 @@ Image Classification
Pipeline Random Config:
________________________________________
Configuration:
image_augmenter:GaussianBlur:sigma_min, Value: 1.2308317406823488
image_augmenter:GaussianBlur:sigma_offset, Value: 2.745973527153216
image_augmenter:GaussianBlur:sigma_min, Value: 0.20908525787627186
image_augmenter:GaussianBlur:sigma_offset, Value: 1.0594983119215948
image_augmenter:GaussianBlur:use_augmenter, Value: True
image_augmenter:GaussianNoise:sigma_offset, Value: 0.8698005723626088
image_augmenter:GaussianNoise:sigma_offset, Value: 2.332578136892134
image_augmenter:GaussianNoise:use_augmenter, Value: True
image_augmenter:RandomAffine:rotate, Value: 359
image_augmenter:RandomAffine:scale_offset, Value: 0.21881911068658175
image_augmenter:RandomAffine:shear, Value: 17
image_augmenter:RandomAffine:translate_percent_offset, Value: 0.15493019000449781
image_augmenter:RandomAffine:rotate, Value: 304
image_augmenter:RandomAffine:scale_offset, Value: 0.11742982276455081
image_augmenter:RandomAffine:shear, Value: 29
image_augmenter:RandomAffine:translate_percent_offset, Value: 0.2818176238920318
image_augmenter:RandomAffine:use_augmenter, Value: True
image_augmenter:RandomCutout:use_augmenter, Value: False
image_augmenter:Resize:use_augmenter, Value: True
image_augmenter:ZeroPadAndCrop:percent, Value: 0.07061960693116581
normalizer:__choice__, Value: 'NoNormalizer'
image_augmenter:Resize:use_augmenter, Value: False
image_augmenter:ZeroPadAndCrop:percent, Value: 0.08548217815014147
normalizer:__choice__, Value: 'ImageNormalizer'

Fitting the pipeline...
________________________________________
ImageClassificationPipeline
________________________________________
0-) normalizer:
NoNormalizer
ImageNormalizer

1-) preprocessing:
EarlyPreprocessing
Expand Down Expand Up @@ -177,7 +177,7 @@ Image Classification
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 0 minutes 5.624 seconds)
**Total running time of the script:** ( 0 minutes 8.553 seconds)


.. _sphx_glr_download_examples_20_basics_example_image_classification.py:
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105 changes: 84 additions & 21 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 0x7fb263a32130>
<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f8a02b64c10>
Expand Down Expand Up @@ -162,7 +162,7 @@ Print the final ensemble performance

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7fb252e6a400> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7f89f18b7910> [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=0.0012660026550292969, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0012984275817871094, budget=0), TrajEntry(train_perf=0.18128654970760238, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -226,31 +226,94 @@ 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=2.014786958694458, wallclock_time=3.222097873687744, budget=5.555555555555555)]
{'accuracy': 0.8786127167630058}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:-------------------------------------------------------------------|---------:|
| 0 | SimpleImputer,NoEncoder,MinMaxScaler,Nystroem | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.44 |
| 1 | SimpleImputer,OneHotEncoder,MinMaxScaler,KernelPCA | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 2 | SimpleImputer,OneHotEncoder,NoScaler,TruncSVD | embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 3 | None | RFLearner | 0.08 |
| 4 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 5 | SimpleImputer,OneHotEncoder,MinMaxScaler,KernelPCA | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 6 | SimpleImputer,OneHotEncoder,MinMaxScaler,PolynomialFeatures | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 7 | None | CBLearner | 0.04 |
| 8 | SimpleImputer,OneHotEncoder,NoScaler,PowerTransformer | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 9 | None | ETLearner | 0.02 |
| 10 | None | SVMLearner | 0.02 |
| 11 | None | KNNLearner | 0.02 |
| 12 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
, ta_runs=1, ta_time_used=2.5365962982177734, wallclock_time=3.641376495361328, budget=5.555555555555555), TrajEntry(train_perf=0.17543859649122806, incumbent_id=2, incumbent=Configuration:
data_loader:batch_size, Value: 97
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:KernelPCA:coef0, Value: -0.082773840425306
feature_preprocessor:KernelPCA:degree, Value: 3
feature_preprocessor:KernelPCA:gamma, Value: 0.010805957426054075
feature_preprocessor:KernelPCA:kernel, Value: 'poly'
feature_preprocessor:KernelPCA:n_components, Value: 6
feature_preprocessor:__choice__, Value: 'KernelPCA'
imputer:categorical_strategy, Value: 'most_frequent'
imputer:numerical_strategy, Value: 'constant_zero'
lr_scheduler:ReduceLROnPlateau:factor, Value: 0.8960894617994585
lr_scheduler:ReduceLROnPlateau:mode, Value: 'max'
lr_scheduler:ReduceLROnPlateau:patience, Value: 9
lr_scheduler:__choice__, Value: 'ReduceLROnPlateau'
network_backbone:ShapedResNetBackbone:activation, Value: 'relu'
network_backbone:ShapedResNetBackbone:blocks_per_group, Value: 4
network_backbone:ShapedResNetBackbone:max_units, Value: 633
network_backbone:ShapedResNetBackbone:num_groups, Value: 3
network_backbone:ShapedResNetBackbone:output_dim, Value: 678
network_backbone:ShapedResNetBackbone:resnet_shape, Value: 'stairs'
network_backbone:ShapedResNetBackbone:use_dropout, Value: False
network_backbone:ShapedResNetBackbone:use_shake_drop, Value: False
network_backbone:ShapedResNetBackbone:use_shake_shake, Value: True
network_backbone:__choice__, Value: 'ShapedResNetBackbone'
network_embedding:__choice__, Value: 'NoEmbedding'
network_head:__choice__, Value: 'fully_connected'
network_head:fully_connected:num_layers, Value: 1
network_init:KaimingInit:bias_strategy, Value: 'Normal'
network_init:__choice__, Value: 'KaimingInit'
optimizer:RMSpropOptimizer:alpha, Value: 0.7131796677728146
optimizer:RMSpropOptimizer:lr, Value: 0.0008027152992513552
optimizer:RMSpropOptimizer:momentum, Value: 0.8007535972801767
optimizer:RMSpropOptimizer:weight_decay, Value: 0.05967403229982146
optimizer:__choice__, Value: 'RMSpropOptimizer'
scaler:__choice__, Value: 'MinMaxScaler'
trainer:StandardTrainer:weighted_loss, Value: False
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=3, ta_time_used=18.902961254119873, wallclock_time=22.37511134147644, budget=5.555555555555555), TrajEntry(train_perf=0.18128654970760238, incumbent_id=3, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
imputer:categorical_strategy, Value: 'most_frequent'
imputer:numerical_strategy, Value: 'mean'
lr_scheduler:ReduceLROnPlateau:factor, Value: 0.1
lr_scheduler:ReduceLROnPlateau:mode, Value: 'min'
lr_scheduler:ReduceLROnPlateau:patience, Value: 10
lr_scheduler:__choice__, Value: 'ReduceLROnPlateau'
network_backbone:ShapedMLPBackbone:activation, Value: 'relu'
network_backbone:ShapedMLPBackbone:max_units, Value: 200
network_backbone:ShapedMLPBackbone:mlp_shape, Value: 'funnel'
network_backbone:ShapedMLPBackbone:num_groups, Value: 5
network_backbone:ShapedMLPBackbone:output_dim, Value: 200
network_backbone:ShapedMLPBackbone:use_dropout, Value: False
network_backbone:__choice__, Value: 'ShapedMLPBackbone'
network_embedding:__choice__, Value: 'NoEmbedding'
network_head:__choice__, Value: 'fully_connected'
network_head:fully_connected:activation, Value: 'relu'
network_head:fully_connected:num_layers, Value: 2
network_head:fully_connected:units_layer_1, Value: 128
network_init:XavierInit:bias_strategy, Value: 'Normal'
network_init:__choice__, Value: 'XavierInit'
optimizer:AdamOptimizer:beta1, Value: 0.9
optimizer:AdamOptimizer:beta2, Value: 0.9
optimizer:AdamOptimizer:lr, Value: 0.01
optimizer:AdamOptimizer:weight_decay, Value: 0.0
optimizer:__choice__, Value: 'AdamOptimizer'
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=11, ta_time_used=83.38277745246887, wallclock_time=98.77164840698242, budget=16.666666666666664)]
{'accuracy': 0.8728323699421965}
| | Preprocessing | Estimator | Weight |
|---:|:---------------------------------------------------|:-------------------------------------------------------------------|---------:|
| 0 | None | CBLearner | 0.78 |
| 1 | SimpleImputer,OneHotEncoder,MinMaxScaler,KernelPCA | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.14 |
| 2 | SimpleImputer,OneHotEncoder,MinMaxScaler,KernelPCA | no embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 3 | SimpleImputer,OneHotEncoder,NoScaler,TruncSVD | embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 4 | SimpleImputer,OneHotEncoder,Normalizer,Nystroem | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 5 | None | ETLearner | 0.02 |
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 39.134 seconds)
**Total running time of the script:** ( 5 minutes 35.924 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:
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