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Ravin Kohli: Add seed to dataset creation (#202)
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‎refactor_development_regularization_cocktails/_downloads/2f0f54a9831653ac5c12ee0e06324a62/basics_tabular_jupyter.zip‎

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‎refactor_development_regularization_cocktails/_downloads/8ef6602cf8ed40221edd89244fb031af/basics_tabular_python.zip‎

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‎refactor_development_regularization_cocktails/_downloads/b38295cf56f02b1c4547385a8f389f90/advanced_tabular_python.zip‎

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‎refactor_development_regularization_cocktails/_downloads/df038041811db9bd567de83692a8f994/advanced_tabular_jupyter.zip‎

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‎refactor_development_regularization_cocktails/_modules/autoPyTorch/api/tabular_classification.html‎

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@@ -272,7 +272,8 @@ <h1>Source code for autoPyTorch.api.tabular_classification</h1><div class="highl
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<span class="n">validator</span><span class="o">=</span><span class="n">InputValidator</span><span class="p">,</span>
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<span class="n">resampling_strategy</span><span class="o">=</span><span class="n">resampling_strategy</span><span class="p">,</span>
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<span class="n">resampling_strategy_args</span><span class="o">=</span><span class="n">resampling_strategy_args</span><span class="p">,</span>
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<span class="n">dataset_name</span><span class="o">=</span><span class="n">dataset_name</span>
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<span class="n">dataset_name</span><span class="o">=</span><span class="n">dataset_name</span><span class="p">,</span>
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<span class="n">seed</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">seed</span>
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<span class="p">)</span>
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<span class="k">if</span> <span class="ow">not</span> <span class="n">return_only</span><span class="p">:</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">InputValidator</span> <span class="o">=</span> <span class="n">InputValidator</span>

‎refactor_development_regularization_cocktails/_sources/advanced_tabular/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 0x7fc41b387d00> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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<smac.runhistory.runhistory.RunHistory object at 0x7fa65ea0d7f0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -87,7 +87,7 @@ the search. Currently, there are two changes that can be made to the space:-
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0019719600677490234, budget=0), TrajEntry(train_perf=0.14035087719298245, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0022118091583251953, budget=0), TrajEntry(train_perf=0.16959064327485385, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'OneHotEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -128,19 +128,19 @@ the search. Currently, there are two changes that can be made to the space:-
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=14.711710453033447, wallclock_time=16.210379123687744, budget=5.555555555555555)]
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{'accuracy': 0.8439306358381503}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:----------------------------------------------------------|---------:|
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| 0 | None | RFClassifier | 0.32 |
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| 1 | None | KNNClassifier | 0.2 |
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| 2 | None | CatBoostClassifier | 0.16 |
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| 3 | None | SVC | 0.12 |
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| 4 | None | ExtraTreesClassifier | 0.08 |
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| 5 | None | LGBMClassifier | 0.04 |
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| 6 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 7 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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<smac.runhistory.runhistory.RunHistory object at 0x7fc419b097c0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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, ta_runs=1, ta_time_used=15.02844500541687, wallclock_time=16.55308246612549, budget=5.555555555555555)]
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{'accuracy': 0.8670520231213873}
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| | Preprocessing | Estimator | Weight |
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|---:|:------------------------------------------------------------------|:-------------------------------------------------------------|---------:|
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| 0 | None | CatBoostClassifier | 0.34 |
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| 1 | None | RFClassifier | 0.24 |
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| 2 | SimpleImputer,OneHotEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.14 |
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| 3 | None | ExtraTreesClassifier | 0.1 |
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| 4 | None | LGBMClassifier | 0.08 |
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| 5 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
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| 6 | None | SVC | 0.02 |
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| 7 | None | KNNClassifier | 0.02 |
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<smac.runhistory.runhistory.RunHistory object at 0x7fa65ee32b50> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'NoEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -179,7 +179,7 @@ the search. Currently, there are two changes that can be made to the space:-
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0016453266143798828, budget=0), TrajEntry(train_perf=0.15204678362573099, incumbent_id=1, incumbent=Configuration:
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, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001974344253540039, budget=0), TrajEntry(train_perf=0.2222222222222222, incumbent_id=1, incumbent=Configuration:
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data_loader:batch_size, Value: 32
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encoder:__choice__, Value: 'NoEncoder'
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feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -218,22 +218,17 @@ the search. Currently, there are two changes that can be made to the space:-
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trainer:StandardTrainer:use_stochastic_weight_averaging, Value: True
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trainer:StandardTrainer:weighted_loss, Constant: 1
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trainer:__choice__, Value: 'StandardTrainer'
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, ta_runs=1, ta_time_used=9.260286808013916, wallclock_time=10.778798341751099, budget=5.555555555555555)]
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{'accuracy': 0.8439306358381503}
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| | Preprocessing | Estimator | Weight |
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|---:|:--------------------------------------------------------------|:----------------------------------------------------------------|---------:|
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| 0 | None | CatBoostClassifier | 0.28 |
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| 1 | None | KNNClassifier | 0.18 |
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| 2 | None | SVC | 0.12 |
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| 3 | SimpleImputer,NoEncoder,Normalizer,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.1 |
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| 4 | None | ExtraTreesClassifier | 0.08 |
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| 5 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
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| 6 | None | RFClassifier | 0.04 |
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| 7 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 8 | SimpleImputer,NoEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 9 | SimpleImputer,NoEncoder,StandardScaler,PolynomialFeatures | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 10 | SimpleImputer,NoEncoder,StandardScaler,PolynomialFeatures | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
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| 11 | None | LGBMClassifier | 0.02 |
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, ta_runs=1, ta_time_used=9.633345603942871, wallclock_time=11.128498792648315, 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 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.7 |
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| 1 | None | RFClassifier | 0.1 |
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| 2 | None | CatBoostClassifier | 0.06 |
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| 3 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
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| 4 | None | LGBMClassifier | 0.04 |
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| 5 | None | ExtraTreesClassifier | 0.04 |
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| 6 | None | SVC | 0.02 |
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@@ -362,7 +357,7 @@ the search. Currently, there are two changes that can be made to the space:-
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 11 minutes 35.768 seconds)
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**Total running time of the script:** ( 11 minutes 39.384 seconds)
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.. _sphx_glr_download_advanced_tabular_example_custom_configuration_space.py:

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