Skip to content

Commit 1cf2aa3

Browse files
author
Github Actions
committed
Ravin Kohli: Run history traditional (#121)
1 parent be1b567 commit 1cf2aa3

30 files changed

+485
-408
lines changed

‎refactor_development/_downloads/2f0f54a9831653ac5c12ee0e06324a62/basics_tabular_jupyter.zip‎

0 Bytes
Binary file not shown.

‎refactor_development/_downloads/8ef6602cf8ed40221edd89244fb031af/basics_tabular_python.zip‎

0 Bytes
Binary file not shown.

‎refactor_development/_downloads/b38295cf56f02b1c4547385a8f389f90/advanced_tabular_python.zip‎

0 Bytes
Binary file not shown.

‎refactor_development/_downloads/df038041811db9bd567de83692a8f994/advanced_tabular_jupyter.zip‎

0 Bytes
Binary file not shown.

‎refactor_development/_modules/autoPyTorch/api/tabular_classification.html‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -407,7 +407,7 @@ <h1>Source code for autoPyTorch.api.tabular_classification</h1><div class="highl
407407
</p>
408408
<p>
409409
&copy; Copyright 2014-2019, Machine Learning Professorship Freiburg.<br/>
410-
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.3.<br/>
410+
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
411411
</p>
412412
</div>
413413
</footer>

‎refactor_development/_modules/index.html‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -128,7 +128,7 @@ <h1>All modules for which code is available</h1>
128128
</p>
129129
<p>
130130
&copy; Copyright 2014-2019, Machine Learning Professorship Freiburg.<br/>
131-
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.3.<br/>
131+
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
132132
</p>
133133
</div>
134134
</footer>

‎refactor_development/_sources/advanced_tabular/example_custom_configuration_space.rst.txt‎

Lines changed: 123 additions & 27 deletions
Large diffs are not rendered by default.

‎refactor_development/_sources/advanced_tabular/example_resampling_strategy.rst.txt‎

Lines changed: 73 additions & 102 deletions
Large diffs are not rendered by default.

‎refactor_development/_sources/advanced_tabular/sg_execution_times.rst.txt‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -5,10 +5,10 @@
55

66
Computation times
77
=================
8-
**21:40.559** total execution time for **advanced_tabular** files:
8+
**21:42.119** total execution time for **advanced_tabular** files:
99

1010
+--------------------------------------------------------------------------------------------------------------------+-----------+--------+
11-
| :ref:`sphx_glr_advanced_tabular_example_custom_configuration_space.py` (``example_custom_configuration_space.py``) | 11:39.293 | 0.0 MB |
11+
| :ref:`sphx_glr_advanced_tabular_example_custom_configuration_space.py` (``example_custom_configuration_space.py``) | 11:43.290 | 0.0 MB |
1212
+--------------------------------------------------------------------------------------------------------------------+-----------+--------+
13-
| :ref:`sphx_glr_advanced_tabular_example_resampling_strategy.py` (``example_resampling_strategy.py``) | 10:01.266 | 0.0 MB |
13+
| :ref:`sphx_glr_advanced_tabular_example_resampling_strategy.py` (``example_resampling_strategy.py``) | 09:58.829 | 0.0 MB |
1414
+--------------------------------------------------------------------------------------------------------------------+-----------+--------+

‎refactor_development/_sources/basics_tabular/example_tabular_classification.rst.txt‎

Lines changed: 17 additions & 48 deletions
Original file line numberDiff line numberDiff line change
@@ -36,7 +36,7 @@ with AutoPyTorch
3636

3737
.. code-block:: none
3838
39-
<smac.runhistory.runhistory.RunHistory object at 0x7feb69c1fb20> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
39+
<smac.runhistory.runhistory.RunHistory object at 0x7f749966b6a0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
4040
data_loader:batch_size, Value: 64
4141
encoder:__choice__, Value: 'OneHotEncoder'
4242
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -68,7 +68,7 @@ with AutoPyTorch
6868
scaler:__choice__, Value: 'StandardScaler'
6969
trainer:StandardTrainer:weighted_loss, Value: True
7070
trainer:__choice__, Value: 'StandardTrainer'
71-
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.001767873764038086, budget=0), TrajEntry(train_perf=0.18128654970760238, incumbent_id=1, incumbent=Configuration:
71+
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.002102375030517578, budget=0), TrajEntry(train_perf=0.17543859649122806, incumbent_id=1, incumbent=Configuration:
7272
data_loader:batch_size, Value: 64
7373
encoder:__choice__, Value: 'OneHotEncoder'
7474
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
@@ -100,7 +100,7 @@ with AutoPyTorch
100100
scaler:__choice__, Value: 'StandardScaler'
101101
trainer:StandardTrainer:weighted_loss, Value: True
102102
trainer:__choice__, Value: 'StandardTrainer'
103-
, ta_runs=1, ta_time_used=4.665284872055054, wallclock_time=6.1089887619018555, budget=5.555555555555555), TrajEntry(train_perf=0.13450292397660824, incumbent_id=2, incumbent=Configuration:
103+
, ta_runs=1, ta_time_used=5.201563596725464, wallclock_time=6.676171779632568, budget=5.555555555555555), TrajEntry(train_perf=0.14035087719298245, incumbent_id=2, incumbent=Configuration:
104104
data_loader:batch_size, Value: 153
105105
encoder:__choice__, Value: 'OneHotEncoder'
106106
feature_preprocessor:KernelPCA:gamma, Value: 0.6217858094449208
@@ -133,52 +133,21 @@ with AutoPyTorch
133133
trainer:MixUpTrainer:alpha, Value: 0.7490557199071863
134134
trainer:MixUpTrainer:weighted_loss, Value: False
135135
trainer:__choice__, Value: 'MixUpTrainer'
136-
, ta_runs=4, ta_time_used=42.54132056236267, wallclock_time=50.49244809150696, budget=5.555555555555555), TrajEntry(train_perf=0.19883040935672514, incumbent_id=3, incumbent=Configuration:
137-
data_loader:batch_size, Value: 64
138-
encoder:__choice__, Value: 'OneHotEncoder'
139-
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
140-
imputer:categorical_strategy, Value: 'most_frequent'
141-
imputer:numerical_strategy, Value: 'mean'
142-
lr_scheduler:ReduceLROnPlateau:factor, Value: 0.1
143-
lr_scheduler:ReduceLROnPlateau:mode, Value: 'min'
144-
lr_scheduler:ReduceLROnPlateau:patience, Value: 10
145-
lr_scheduler:__choice__, Value: 'ReduceLROnPlateau'
146-
network_backbone:ShapedMLPBackbone:activation, Value: 'relu'
147-
network_backbone:ShapedMLPBackbone:max_units, Value: 200
148-
network_backbone:ShapedMLPBackbone:mlp_shape, Value: 'funnel'
149-
network_backbone:ShapedMLPBackbone:num_groups, Value: 5
150-
network_backbone:ShapedMLPBackbone:output_dim, Value: 200
151-
network_backbone:ShapedMLPBackbone:use_dropout, Value: False
152-
network_backbone:__choice__, Value: 'ShapedMLPBackbone'
153-
network_embedding:__choice__, Value: 'NoEmbedding'
154-
network_head:__choice__, Value: 'fully_connected'
155-
network_head:fully_connected:activation, Value: 'relu'
156-
network_head:fully_connected:num_layers, Value: 2
157-
network_head:fully_connected:units_layer_1, Value: 128
158-
network_init:XavierInit:bias_strategy, Value: 'Normal'
159-
network_init:__choice__, Value: 'XavierInit'
160-
optimizer:AdamOptimizer:beta1, Value: 0.9
161-
optimizer:AdamOptimizer:beta2, Value: 0.9
162-
optimizer:AdamOptimizer:lr, Value: 0.01
163-
optimizer:AdamOptimizer:weight_decay, Value: 0.0
164-
optimizer:__choice__, Value: 'AdamOptimizer'
165-
scaler:__choice__, Value: 'StandardScaler'
166-
trainer:StandardTrainer:weighted_loss, Value: True
167-
trainer:__choice__, Value: 'StandardTrainer'
168-
, ta_runs=11, ta_time_used=102.16757273674011, wallclock_time=127.4495575428009, budget=16.666666666666664)]
169-
{'accuracy': 0.861271676300578}
136+
, ta_runs=4, ta_time_used=50.87985134124756, wallclock_time=58.71370840072632, budget=5.555555555555555)]
137+
{'accuracy': 0.8786127167630058}
170138
| | Preprocessing | Estimator | Weight |
171139
|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
172-
| 0 | SimpleImputer,OneHotEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.32 |
173-
| 1 | None | CatBoostClassifier | 0.24 |
174-
| 2 | None | KNNClassifier | 0.14 |
175-
| 3 | None | RFClassifier | 0.12 |
176-
| 4 | SimpleImputer,NoEncoder,NoScaler,Nystroem | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
177-
| 5 | None | ExtraTreesClassifier | 0.04 |
178-
| 6 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
179-
| 7 | SimpleImputer,OneHotEncoder,NoScaler,NoFeaturePreprocessing | embedding,ShapedResNetBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
180-
| 8 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
181-
| 9 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
140+
| 0 | SimpleImputer,OneHotEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.24 |
141+
| 1 | None | CatBoostClassifier | 0.18 |
142+
| 2 | SimpleImputer,OneHotEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.16 |
143+
| 3 | None | KNNClassifier | 0.1 |
144+
| 4 | SimpleImputer,NoEncoder,NoScaler,PolynomialFeatures | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
145+
| 5 | None | ExtraTreesClassifier | 0.08 |
146+
| 6 | SimpleImputer,OneHotEncoder,StandardScaler,KernelPCA | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
147+
| 7 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
148+
| 8 | SimpleImputer,OneHotEncoder,MinMaxScaler,PolynomialFeatures | embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
149+
| 9 | SimpleImputer,NoEncoder,NoScaler,Nystroem | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
150+
| 10 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
182151
183152
184153
@@ -256,7 +225,7 @@ with AutoPyTorch
256225
257226
.. rst-class:: sphx-glr-timing
258227

259-
**Total running time of the script:** ( 5 minutes 51.528 seconds)
228+
**Total running time of the script:** ( 6 minutes 3.800 seconds)
260229

261230

262231
.. _sphx_glr_download_basics_tabular_example_tabular_classification.py:

0 commit comments

Comments
 (0)