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Ravin Kohli: [ADD] Docker publish workflow (#357)
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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: da4a618284217d59a7915d1c6ebdf872
config: 970eb458f32b434db48854a3317b2f05
tags: 645f666f9bcd5a90fca523b33c5a78b7
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############################################################################
# Search for an ensemble of machine learning algorithms
# -----------------------------------------------------------------------
# -----------------------------------------------------

api.search(
X_train=X_train,
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############################################################################
# Print the final ensemble performance
# ------------
# ------------------------------------
y_pred = api.predict(X_test)
score = api.score(y_pred, y_test)
print(score)
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<head>
<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>
<title>autoPyTorch.api.tabular_classification &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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4 changes: 2 additions & 2 deletions development/_modules/autoPyTorch/api/tabular_regression.html
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.api.tabular_regression &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.api.tabular_regression &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.components.base_choice &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.components.base_choice &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.components.base_component &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.components.base_component &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.tabular_classification &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.tabular_classification &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.tabular_regression &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.tabular_regression &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.traditional_tabular_classification &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.traditional_tabular_classification &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>autoPyTorch.pipeline.traditional_tabular_regression &#8212; AutoPyTorch 0.1.0 documentation</title>
<title>autoPyTorch.pipeline.traditional_tabular_regression &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../../../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../../../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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4 changes: 2 additions & 2 deletions development/_modules/index.html
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<head>
<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>
<title>Overview: module code &#8212; AutoPyTorch 0.1.1 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" type="text/css" href="../_static/sg_gallery.css" />
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</button>
<a class="navbar-brand" href="../index.html">
Auto-PyTorch</a>
<span class="navbar-text navbar-version pull-left"><b>0.1.0</b></span>
<span class="navbar-text navbar-version pull-left"><b>0.1.1</b></span>
</div>

<div class="collapse navbar-collapse nav-collapse">
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Pipeline Random Config:
________________________________________
Configuration:
image_augmenter:GaussianBlur:sigma_min, Value: 2.1238678391388115
image_augmenter:GaussianBlur:sigma_offset, Value: 2.7433341752045743
image_augmenter:GaussianBlur:use_augmenter, Value: True
image_augmenter:GaussianNoise:sigma_offset, Value: 0.7675514433357813
image_augmenter:GaussianNoise:use_augmenter, Value: True
image_augmenter:RandomAffine:use_augmenter, Value: False
image_augmenter:GaussianBlur:use_augmenter, Value: False
image_augmenter:GaussianNoise:use_augmenter, Value: False
image_augmenter:RandomAffine:rotate, Value: 42
image_augmenter:RandomAffine:scale_offset, Value: 0.26341164631974867
image_augmenter:RandomAffine:shear, Value: 37
image_augmenter:RandomAffine:translate_percent_offset, Value: 0.31257420399711705
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: 0.45374000954443516
image_augmenter:ZeroPadAndCrop:percent, Value: 0.3202863719943271
normalizer:__choice__, Value: 'ImageNormalizer'

Fitting the pipeline...
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.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 0 minutes 6.306 seconds)
**Total running time of the script:** ( 0 minutes 6.470 seconds)


.. _sphx_glr_download_examples_20_basics_example_image_classification.py:
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.. code-block:: none
<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f7301a7bd30>
<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f2de5f23d60>
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.. code-block:: none
{'accuracy': 0.838150289017341}
{'accuracy': 0.8554913294797688}
| | Preprocessing | Estimator | Weight |
|---:|:------------------------------------------------------------------|:----------------------------------------------------------------|---------:|
| 0 | SimpleImputer,OneHotEncoder,Normalizer,KernelPCA | embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.2 |
| 0 | SimpleImputer,OneHotEncoder,Normalizer,KernelPCA | embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.18 |
| 1 | None | KNNLearner | 0.16 |
| 2 | None | CBLearner | 0.14 |
| 3 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.12 |
| 4 | SimpleImputer,OneHotEncoder,Normalizer,PowerTransformer | embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 5 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 6 | SimpleImputer,OneHotEncoder,MinMaxScaler,PowerTransformer | embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 7 | SimpleImputer,NoEncoder,Normalizer,Nystroem | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 8 | None | SVMLearner | 0.04 |
| 9 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 10 | SimpleImputer,OneHotEncoder,MinMaxScaler,TruncSVD | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 2 | None | SVMLearner | 0.12 |
| 3 | None | CBLearner | 0.1 |
| 4 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.08 |
| 5 | SimpleImputer,OneHotEncoder,Normalizer,PowerTransformer | embedding,ResNetBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 6 | None | RFLearner | 0.06 |
| 7 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
| 8 | SimpleImputer,OneHotEncoder,MinMaxScaler,PowerTransformer | embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 9 | SimpleImputer,NoEncoder,Normalizer,Nystroem | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 10 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.04 |
| 11 | SimpleImputer,OneHotEncoder,Normalizer,TruncSVD | embedding,MLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 12 | SimpleImputer,OneHotEncoder,MinMaxScaler,TruncSVD | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.02 |
| 13 | None | ETLearner | 0.02 |
autoPyTorch results:
Dataset name: Australian
Optimisation Metric: accuracy
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.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 33.018 seconds)
**Total running time of the script:** ( 5 minutes 35.550 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:
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.. code-block:: none
<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f739e466dc0>
<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f2e82b3fdc0>
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| 2 | None | LGBMLearner | 0.08 |
| 3 | SimpleImputer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.06 |
autoPyTorch results:
Dataset name: 19b66c31-6243-11ec-86ff-d727e2798537
Dataset name: 6540c851-6272-11ec-87bb-4db28b908590
Optimisation Metric: r2
Best validation score: 0.8644967965917701
Number of target algorithm runs: 23
Number of target algorithm runs: 22
Number of successful target algorithm runs: 20
Number of crashed target algorithm runs: 1
Number of target algorithms that exceeded the time limit: 2
Number of target algorithms that exceeded the time limit: 1
Number of target algorithms that exceeded the memory limit: 0
Expand All @@ -183,7 +183,7 @@ Print the final ensemble performance
.. rst-class:: sphx-glr-timing

**Total running time of the script:** ( 5 minutes 49.238 seconds)
**Total running time of the script:** ( 5 minutes 42.561 seconds)


.. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:
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Computation times
=================
**11:28.562** total execution time for **examples_20_basics** files:
**11:24.581** total execution time for **examples_20_basics** files:

+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:49.238 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:42.561 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:33.018 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:35.550 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:06.306 | 0.0 MB |
| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:06.470 | 0.0 MB |
+--------------------------------------------------------------------------------------------------------------+-----------+--------+
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