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1.1.0 autogluon.tabular-1.1.0-py3-none-any.whl
1.1.1b20240505 autogluon.tabular-1.1.1b20240505-py3-none-any.whl

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Project: autogluon.tabular
Version: 1.1.0
Filename: autogluon.tabular-1.1.0-py3-none-any.whl
Download: [link]
Size: 308506
MD5: f0214de9508eb5392c87e0b5443299dc
SHA256: ecf4fce30d9cc35cd516767de07912c8269caec2b5ac7dec36b120c0e84fc7e8
Uploaded: 2024-04-17 16:47:40 +0000

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METADATA

Metadata-Version: 2.1
Name: autogluon.tabular
Version: 1.1.0
Summary: Fast and Accurate ML in 3 Lines of Code
Author: AutoGluon Community
Home-Page: https://github.com/autogluon/autogluon
Project-Url: Documentation, https://auto.gluon.ai
Project-Url: Bug Reports, https://github.com/autogluon/autogluon/issues
Project-Url: Source, https://github.com/autogluon/autogluon/
Project-Url: Contribute!, https://github.com/autogluon/autogluon/blob/master/CONTRIBUTING.md
License: Apache-2.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Telecommunications Industry
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.8, <3.12
Requires-Dist: numpy (<1.29,>=1.21)
Requires-Dist: scipy (<1.13,>=1.5.4)
Requires-Dist: pandas (<2.3.0,>=2.0.0)
Requires-Dist: scikit-learn (<1.4.1,>=1.3.0)
Requires-Dist: networkx (<4,>=3.0)
Requires-Dist: autogluon.core (==1.1.0)
Requires-Dist: autogluon.features (==1.1.0)
Requires-Dist: xgboost (<2.1,>=1.6); extra == "all"
Requires-Dist: fastai (<2.8,>=2.3.1); extra == "all"
Requires-Dist: lightgbm (<4.4,>=3.3); extra == "all"
Requires-Dist: autogluon.core[all] (==1.1.0); extra == "all"
Requires-Dist: torch (<2.2,>=2.1); extra == "all"
Requires-Dist: catboost (<1.3,>=1.1); sys_platform != "darwin" and extra == "all"
Requires-Dist: catboost (<1.2,>=1.1); (sys_platform == "darwin" and python_version < "3.11") and extra == "all"
Requires-Dist: catboost (<1.3,>=1.1); sys_platform != "darwin" and extra == "catboost"
Requires-Dist: catboost (<1.2,>=1.1); (sys_platform == "darwin" and python_version < "3.11") and extra == "catboost"
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Requires-Dist: imodels (<1.4.0,>=1.3.10); extra == "imodels"
Requires-Dist: lightgbm (<4.4,>=3.3); extra == "lightgbm"
Requires-Dist: autogluon.core[all] (==1.1.0); extra == "ray"
Requires-Dist: scikit-learn-intelex (<2024.3,>=2023.0); extra == "skex"
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Requires-Dist: tabpfn (<0.2,>=0.1); extra == "tests"
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Requires-Dist: vowpalwabbit (<9.10,>=9); python_version < "3.11" and extra == "vowpalwabbit"
Requires-Dist: xgboost (<2.1,>=1.6); extra == "xgboost"
Provides-Extra: all
Provides-Extra: catboost
Provides-Extra: fastai
Provides-Extra: imodels
Provides-Extra: lightgbm
Provides-Extra: ray
Provides-Extra: skex
Provides-Extra: skl2onnx
Provides-Extra: tabpfn
Provides-Extra: tests
Provides-Extra: vowpalwabbit
Provides-Extra: xgboost
Description-Content-Type: text/markdown
[Description omitted; length: 9229 characters]

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autogluon

zip-safe