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Francisco Rivera Valverde: [DOC] Adds documentation to the abstract e…
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2 changes: 1 addition & 1 deletion development/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 920b50cbcaae19cbf75b2f09049dd94a
config: fe944f1b1d3cb4e7269e41b4f8b98b0d
tags: 645f666f9bcd5a90fca523b33c5a78b7
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8 changes: 4 additions & 4 deletions development/_modules/autoPyTorch/api/tabular_classification.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.api.tabular_classification &#8212; AutoPyTorch 0.1.0 documentation</title>
<link rel="stylesheet" type="text/css" href="../../../_static/pygments.css" />
<link rel="stylesheet" type="text/css" href="../../../_static/bootstrap-sphinx.css" />
<link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" />
<link rel="stylesheet" href="../../../_static/bootstrap-sphinx.css" type="text/css" />
<link rel="stylesheet" type="text/css" href="../../../_static/gallery.css" />
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<script data-url_root="../../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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<script src="../../../_static/underscore.js"></script>
<script src="../../../_static/doctools.js"></script>
Expand Down Expand Up @@ -408,7 +408,7 @@ <h1>Source code for autoPyTorch.api.tabular_classification</h1><div class="highl
</p>
<p>
&copy; Copyright 2014-2021, Machine Learning Professorship Freiburg.<br/>
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 4.0.1.<br/>
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
</p>
</div>
</footer>
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8 changes: 4 additions & 4 deletions development/_modules/index.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Overview: module code &#8212; AutoPyTorch 0.1.0 documentation</title>
<link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
<link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
<link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
<link rel="stylesheet" href="../_static/bootstrap-sphinx.css" type="text/css" />
<link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
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<link rel="stylesheet" type="text/css" href="../_static/gallery-dataframe.css" />
<link rel="stylesheet" type="text/css" href="../_static/gallery-rendered-html.css" />
<script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
<script id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
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<script src="../_static/underscore.js"></script>
<script src="../_static/doctools.js"></script>
Expand Down Expand Up @@ -129,7 +129,7 @@ <h1>All modules for which code is available</h1>
</p>
<p>
&copy; Copyright 2014-2021, Machine Learning Professorship Freiburg.<br/>
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 4.0.1.<br/>
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.5.4.<br/>
</p>
</div>
</footer>
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11 changes: 6 additions & 5 deletions development/_sources/examples/20_basics/example_image_classification.rst.txt
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Expand Up @@ -89,14 +89,15 @@ Image Classification
Pipeline Random Config:
________________________________________
Configuration:
image_augmenter:GaussianBlur:sigma_min, Value: 1.9367108344066843
image_augmenter:GaussianBlur:sigma_offset, Value: 0.33014268022985527
image_augmenter:GaussianBlur:sigma_min, Value: 2.8862227392183475
image_augmenter:GaussianBlur:sigma_offset, Value: 0.14783354362828238
image_augmenter:GaussianBlur:use_augmenter, Value: True
image_augmenter:GaussianNoise:use_augmenter, Value: False
image_augmenter:RandomAffine:use_augmenter, Value: False
image_augmenter:RandomCutout:use_augmenter, Value: False
image_augmenter:RandomCutout:p, Value: 0.9039858752964893
image_augmenter:RandomCutout:use_augmenter, Value: True
image_augmenter:Resize:use_augmenter, Value: True
image_augmenter:ZeroPadAndCrop:percent, Value: 0.25002123480092114
image_augmenter:ZeroPadAndCrop:percent, Value: 0.47790214926487035
normalizer:__choice__, Value: 'ImageNormalizer'

Fitting the pipeline...
Expand Down Expand Up @@ -176,7 +177,7 @@ Image Classification
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 0 minutes 7.646 seconds)
**Total running time of the script:** ( 0 minutes 9.211 seconds)


.. _sphx_glr_download_examples_20_basics_example_image_classification.py:
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12 changes: 6 additions & 6 deletions development/_sources/examples/20_basics/example_tabular_classification.rst.txt
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Expand Up @@ -36,7 +36,7 @@ with AutoPyTorch

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7f236f959190> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7efe6e2801f0> [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 @@ -68,7 +68,7 @@ with AutoPyTorch
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0018346309661865234, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.0016982555389404297, budget=0), TrajEntry(train_perf=0.16374269005847952, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -100,7 +100,7 @@ with AutoPyTorch
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=5.441782712936401, wallclock_time=7.060664176940918, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=2, incumbent=Configuration:
, 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:
data_loader:batch_size, Value: 224
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:Nystroem:kernel, Value: 'cosine'
Expand Down Expand Up @@ -158,7 +158,7 @@ with AutoPyTorch
scaler:__choice__, Value: 'NoScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=8, ta_time_used=74.08682036399841, wallclock_time=91.81088304519653, budget=5.555555555555555), TrajEntry(train_perf=0.1578947368421053, incumbent_id=3, incumbent=Configuration:
, 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:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -190,7 +190,7 @@ with AutoPyTorch
scaler:__choice__, Value: 'StandardScaler'
trainer:StandardTrainer:weighted_loss, Value: True
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=11, ta_time_used=96.91014266014099, wallclock_time=122.55177569389343, budget=16.666666666666664)]
, ta_runs=11, ta_time_used=91.70410537719727, wallclock_time=115.25409579277039, budget=16.666666666666664)]
{'accuracy': 0.8670520231213873}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:-------------------------------------------------------------------|---------:|
Expand Down Expand Up @@ -283,7 +283,7 @@ with AutoPyTorch
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 6 minutes 6.995 seconds)
**Total running time of the script:** ( 6 minutes 1.585 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:
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17 changes: 10 additions & 7 deletions development/_sources/examples/20_basics/example_tabular_regression.rst.txt
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Expand Up @@ -36,7 +36,7 @@ with AutoPyTorch

.. code-block:: none
<smac.runhistory.runhistory.RunHistory object at 0x7f23573b2cd0> [TrajEntry(train_perf=2147483648, incumbent_id=1, incumbent=Configuration:
<smac.runhistory.runhistory.RunHistory object at 0x7efe5dd45640> [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 @@ -67,7 +67,7 @@ with AutoPyTorch
optimizer:__choice__, Value: 'AdamOptimizer'
scaler:__choice__, Value: 'StandardScaler'
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.002882719039916992, budget=0), TrajEntry(train_perf=0.4713371853995719, incumbent_id=1, incumbent=Configuration:
, ta_runs=0, ta_time_used=0.0, wallclock_time=0.002702951431274414, budget=0), TrajEntry(train_perf=0.4562578216938723, incumbent_id=1, incumbent=Configuration:
data_loader:batch_size, Value: 64
encoder:__choice__, Value: 'OneHotEncoder'
feature_preprocessor:__choice__, Value: 'NoFeaturePreprocessor'
Expand Down Expand Up @@ -98,12 +98,15 @@ with AutoPyTorch
optimizer:__choice__, Value: 'AdamOptimizer'
scaler:__choice__, Value: 'StandardScaler'
trainer:__choice__, Value: 'StandardTrainer'
, ta_runs=1, ta_time_used=4.333436727523804, wallclock_time=8.021289587020874, budget=5.555555555555555)]
{'r2': 0.9016159782321723}
, ta_runs=1, ta_time_used=3.7996127605438232, wallclock_time=7.115498781204224, budget=5.555555555555555)]
{'r2': 0.8989991356994216}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
| 0 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.9 |
| 1 | SimpleImputer,OneHotEncoder,MinMaxScaler,PowerTransformer | embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.1 |
| 0 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.66 |
| 1 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.24 |
| 2 | SimpleImputer,OneHotEncoder,Normalizer,Nystroem | no embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 3 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 4 | SimpleImputer,OneHotEncoder,MinMaxScaler,PowerTransformer | embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
Expand Down Expand Up @@ -189,7 +192,7 @@ with AutoPyTorch
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 27.289 seconds)
**Total running time of the script:** ( 5 minutes 16.593 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
=================
**11:41.931** total execution time for **examples_20_basics** files:
**11:27.389** total execution time for **examples_20_basics** files:

+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 06:06.995 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 06:01.585 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:27.289 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:16.593 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:07.646 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:09.211 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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