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Ravin Kohli: [FIX] results management and visualisation with missing test data (#465)
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‎development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip

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‎development/_images/sphx_glr_example_plot_over_time_001.png

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‎development/_images/sphx_glr_example_visualization_001.png

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‎development/_sources/examples/20_basics/example_image_classification.rst.txt

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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ../datasets/FashionMNIST/raw/train-images-idx3-ubyte.gz
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Extracting ../datasets/FashionMNIST/raw/train-images-idx3-ubyte.gz to ../datasets/FashionMNIST/raw
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ../datasets/FashionMNIST/raw/train-labels-idx1-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ../datasets/FashionMNIST/raw/t10k-images-idx3-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz
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Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to ../datasets/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz
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Pipeline CS:
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Configuration(values={
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'image_augmenter:GaussianBlur:use_augmenter': False,
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'image_augmenter:GaussianNoise:use_augmenter': False,
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'image_augmenter:RandomAffine:rotate': 264,
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'image_augmenter:RandomAffine:scale_offset': 0.1997598286556691,
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'image_augmenter:RandomAffine:shear': 38,
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'image_augmenter:RandomAffine:translate_percent_offset': 0.21531300486072077,
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'image_augmenter:RandomAffine:rotate': 124,
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'image_augmenter:RandomAffine:scale_offset': 0.06255439515201121,
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'image_augmenter:RandomAffine:shear': 31,
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'image_augmenter:RandomAffine:translate_percent_offset': 0.17281138629598677,
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'image_augmenter:RandomAffine:use_augmenter': True,
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'image_augmenter:RandomCutout:p': 0.24443754548888208,
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'image_augmenter:RandomCutout:use_augmenter': True,
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'image_augmenter:Resize:use_augmenter': True,
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'image_augmenter:ZeroPadAndCrop:percent': 0.37202634450268485,
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'normalizer:__choice__': 'ImageNormalizer',
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'image_augmenter:RandomCutout:use_augmenter': False,
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'image_augmenter:Resize:use_augmenter': False,
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'image_augmenter:ZeroPadAndCrop:percent': 0.1857189312490744,
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'normalizer:__choice__': 'NoNormalizer',
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})
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Fitting the pipeline...
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________________________________________
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ImageClassificationPipeline
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________________________________________
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ImageNormalizer
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NoNormalizer
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EarlyPreprocessing
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.. _sphx_glr_download_examples_20_basics_example_image_classification.py:

‎development/_sources/examples/20_basics/example_tabular_classification.rst.txt

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.. code-block:: none
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f1b6277e6a0>
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7fad73de7790>
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Optimisation Metric: accuracy
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Number of target algorithm runs: 27
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Number of successful target algorithm runs: 26
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Number of crashed target algorithm runs: 0
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Number of target algorithms that exceeded the time limit: 2
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Number of target algorithms that exceeded the time limit: 1
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.. _sphx_glr_download_examples_20_basics_example_tabular_classification.py:

‎development/_sources/examples/20_basics/example_tabular_regression.rst.txt

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.. code-block:: none
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<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7f1ad2685730>
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<autoPyTorch.api.tabular_regression.TabularRegressionTask object at 0x7face7e10f40>
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| 2 | SimpleImputer,Variance Threshold,NoCoalescer,OneHotEncoder,StandardScaler,NoFeaturePreprocessing | no embedding,ShapedMLPBackbone,FullyConnectedHead,nn.Sequential | 0.1 |
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| 3 | None | LGBMLearner | 0.04 |
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autoPyTorch results:
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Dataset name: 63413bef-1a43-11ed-8830-056390bd6e17
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.. _sphx_glr_download_examples_20_basics_example_tabular_regression.py:

‎development/_sources/examples/20_basics/example_time_series_forecasting.rst.txt

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**Total running time of the script:** ( 1 minutes 8.766 seconds)
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.. _sphx_glr_download_examples_20_basics_example_time_series_forecasting.py:

‎development/_sources/examples/20_basics/sg_execution_times.rst.txt

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Computation times
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=================
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**12:24.700** total execution time for **examples_20_basics** files:
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+----------------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:35.870 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_regression.py` (``example_tabular_regression.py``) | 05:37.001 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:31.873 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_tabular_classification.py` (``example_tabular_classification.py``) | 05:32.227 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_time_series_forecasting.py` (``example_time_series_forecasting.py``) | 00:58.963 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_time_series_forecasting.py` (``example_time_series_forecasting.py``) | 01:08.766 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:05.806 | 0.0 MB |
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| :ref:`sphx_glr_examples_20_basics_example_image_classification.py` (``example_image_classification.py``) | 00:06.707 | 0.0 MB |
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+----------------------------------------------------------------------------------------------------------------+-----------+--------+

‎development/_sources/examples/40_advanced/example_custom_configuration_space.rst.txt

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‎development/_sources/examples/40_advanced/example_parallel_n_jobs.rst.txt

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[ERROR] [2022-08-12 14:00:41,871:asyncio.events]
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[ERROR] [2022-08-12 14:01:49,186:asyncio.events]
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Traceback (most recent call last):
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File "/opt/hostedtoolcache/Python/3.8.13/x64/lib/python3.8/site-packages/distributed/utils.py", line 799, in wrapper
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return await func(*args, **kwargs)
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File "/opt/hostedtoolcache/Python/3.8.13/x64/lib/python3.8/site-packages/distributed/client.py", line 1246, in _reconnect
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comm = await connect(
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File "/opt/hostedtoolcache/Python/3.8.13/x64/lib/python3.8/site-packages/distributed/comm/core.py", line 315, in connect
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await asyncio.sleep(backoff)
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File "/opt/hostedtoolcache/Python/3.8.13/x64/lib/python3.8/asyncio/tasks.py", line 659, in sleep
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asyncio.exceptions.CancelledError
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[ERROR] [2022-08-12 14:01:49,190:asyncio.events]
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File "/opt/hostedtoolcache/Python/3.8.13/x64/lib/python3.8/site-packages/distributed/comm/core.py", line 315, in connect
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{'accuracy': 0.9017341040462428}
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{'accuracy': 0.8497109826589595}
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Dataset name: 5ddf95cd-1a46-11ed-8830-056390bd6e17
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Dataset name: 88611799-1a46-11ed-883e-c7f5fe1042ee
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Number of crashed target algorithm runs: 6
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.. rst-class:: sphx-glr-timing
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.. _sphx_glr_download_examples_40_advanced_example_parallel_n_jobs.py:

‎development/_sources/examples/40_advanced/example_pass_feature_types.rst.txt

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**Total running time of the script:** ( 1 minutes 50.152 seconds)
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.. _sphx_glr_download_examples_40_advanced_example_pass_feature_types.py:

‎development/_sources/examples/40_advanced/example_plot_over_time.rst.txt

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[1 1 1 0 0 1 1 0 1 0 0 1 1 0 0 0 1 1 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0
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0 1 0 0 1 0 0 0 1 0 1 1 1 1 0 1 0 1 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 1 1
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0 1 1 1 1 1 1 1 1 0 1 0 1 0 1 0 0 0 0 0 1 1 1 0 1 1]
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@@ -117,7 +117,7 @@ API Instantiation and Searching
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.. code-block:: none
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7f1acb3fdf40>
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<autoPyTorch.api.tabular_classification.TabularClassificationTask object at 0x7fad65e3bb20>
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@@ -182,7 +182,7 @@ _, ax = plt.subplots() <=== You can feed it to post-process the figure.
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 2 minutes 11.558 seconds)
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**Total running time of the script:** ( 2 minutes 22.976 seconds)
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.. _sphx_glr_download_examples_40_advanced_example_plot_over_time.py:

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