nabenabe0928: [feat] Add __str__ to autoPyTorchEnum (#405)

Author: Github Actions

development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip

@@ -85,16 +85,17 @@ Image Classification
     Pipeline Random Config:
      ________________________________________ 
     Configuration(values={
-      'image_augmenter:GaussianBlur:sigma_min': 0.10327976032627761,
-      'image_augmenter:GaussianBlur:sigma_offset': 0.45340318994125184,
-      'image_augmenter:GaussianBlur:use_augmenter': True,
-      'image_augmenter:GaussianNoise:sigma_offset': 0.643177287015827,
-      'image_augmenter:GaussianNoise:use_augmenter': True,
-      'image_augmenter:RandomAffine:use_augmenter': False,
-      'image_augmenter:RandomCutout:p': 0.58899963145322,
+      'image_augmenter:GaussianBlur:use_augmenter': False,
+      'image_augmenter:GaussianNoise:use_augmenter': False,
+      'image_augmenter:RandomAffine:rotate': 237,
+      'image_augmenter:RandomAffine:scale_offset': 0.32734086551151986,
+      'image_augmenter:RandomAffine:shear': 43,
+      'image_augmenter:RandomAffine:translate_percent_offset': 0.2150833219469362,
+      'image_augmenter:RandomAffine:use_augmenter': True,
+      'image_augmenter:RandomCutout:p': 0.6425251463645631,
       'image_augmenter:RandomCutout:use_augmenter': True,
-      'image_augmenter:Resize:use_augmenter': True,
-      'image_augmenter:ZeroPadAndCrop:percent': 0.062191847988016136,
+      'image_augmenter:Resize:use_augmenter': False,
+      'image_augmenter:ZeroPadAndCrop:percent': 0.2638607299100123,
       'normalizer:__choice__': 'ImageNormalizer',
     })
 
@@ -175,7 +176,7 @@ Image Classification
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  8.858 seconds)
+   **Total running time of the script:** ( 0 minutes  8.801 seconds)
 
 
 .. _sphx_glr_download_examples_20_basics_example_image_classification.py:

development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip

@@ -134,7 +134,7 @@ Search for an ensemble of machine learning algorithms
  .. code-block:: none
 
 
-    <autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7fdd8a34d640>
+    <autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7fcb49398130>
 
 
 
@@ -196,7 +196,7 @@ Print the final ensemble performance
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  27.922 seconds)
+   **Total running time of the script:** ( 5 minutes  32.091 seconds)
 
 
 .. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:

development/_images/sphx_glr_example_plot_over_time_001.png

@@ -125,7 +125,7 @@ Search for an ensemble of machine learning algorithms
  .. code-block:: none
 
 
-    <autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7fde27812430>
+    <autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7fcbe670c430>
 
 
 
@@ -168,13 +168,13 @@ Print the final ensemble performance
     |  3 | None                                                                                             | LGBMLearner                                                     |     0.02 |
     |  4 | SimpleImputer,Variance Threshold,NoCoalescer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential |     0.02 |
     autoPyTorch results:
-            Dataset name: 0da2f587-9ae4-11ec-87e6-b1d9b8f13636
+            Dataset name: 3f905480-9ba1-11ec-87e5-c7420ab3e9b2
             Optimisation Metric: r2
             Best validation score: 0.8669094525651709
-            Number of target algorithm runs: 22
+            Number of target algorithm runs: 23
             Number of successful target algorithm runs: 17
             Number of crashed target algorithm runs: 3
-            Number of target algorithms that exceeded the time limit: 2
+            Number of target algorithms that exceeded the time limit: 3
             Number of target algorithms that exceeded the memory limit: 0
 
 
@@ -184,7 +184,7 @@ Print the final ensemble performance
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  49.239 seconds)
+   **Total running time of the script:** ( 5 minutes  55.597 seconds)
 
 
 .. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:

development/_images/sphx_glr_example_plot_over_time_thumb.png

@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**11:26.018** total execution time for **examples_20_basics** files:
+**11:36.489** total execution time for **examples_20_basics** files:
 
 +--------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``)         | 05:49.239 | 0.0 MB |
+| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``)         | 05:55.597 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:27.922 | 0.0 MB |
+| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:32.091 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``)     | 00:08.858 | 0.0 MB |
+| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``)     | 00:08.801 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------------------+-----------+--------+