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pypi.org : autogluon.tabular : 1.0.1b20240220

Fast and Accurate ML in 3 Lines of Code

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purl: pkg:pypi/[email protected]
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    Dependencies
    • vowpalwabbit <9.9,>=9 (python_version < "3.11") and extra == 'tests' (optional)
    • vowpalwabbit <9.9,>=9 (python_version < "3.11") and extra == 'vowpalwabbit' (optional)
    • catboost <1.3,>=1.1 (sys_platform != "darwin") and extra == 'all' (optional)
    • catboost <1.3,>=1.1 (sys_platform != "darwin") and extra == 'catboost' (optional)
    • catboost <1.2,>=1.1 (sys_platform == "darwin" and python_version < "3.11") and extra == 'all' (optional)
    • catboost <1.2,>=1.1 (sys_platform == "darwin" and python_version < "3.11") and extra == 'catboost' (optional)
    • autogluon.core[all] ==1.0.1b20240220 extra == 'all' (optional)
    • fastai <2.8,>=2.3.1 extra == 'all' (optional)
    • lightgbm <4.4,>=3.3 extra == 'all' (optional)
    • torch <2.1,>=2.0 extra == 'all' (optional)
    • xgboost <2.1,>=1.6 extra == 'all' (optional)
    • fastai <2.8,>=2.3.1 extra == 'fastai' (optional)
    • torch <2.1,>=2.0 extra == 'fastai' (optional)
    • imodels <1.4.0,>=1.3.10 extra == 'imodels' (optional)
    • lightgbm <4.4,>=3.3 extra == 'lightgbm' (optional)
    • autogluon.core[all] ==1.0.1b20240220 extra == 'ray' (optional)
    • scikit-learn-intelex <2024.1,>=2023.0 extra == 'skex' (optional)
    • onnxruntime-gpu <1.16.0,>=1.15.0 extra == 'skl2onnx' (optional)
    • skl2onnx <1.16.0,>=1.15.0 extra == 'skl2onnx' (optional)
    • tabpfn <0.2,>=0.1 extra == 'tabpfn' (optional)
    • imodels <1.4.0,>=1.3.10 extra == 'tests' (optional)
    • onnxruntime-gpu <1.16.0,>=1.15.0 extra == 'tests' (optional)
    • skl2onnx <1.16.0,>=1.15.0 extra == 'tests' (optional)
    • tabpfn <0.2,>=0.1 extra == 'tests' (optional)
    • xgboost <2.1,>=1.6 extra == 'xgboost' (optional)
    • autogluon.core ==1.0.1b20240220
    • autogluon.features ==1.0.1b20240220
    • networkx <4,>=3.0
    • numpy <1.29,>=1.21
    • pandas <2.2.0,>=2.0.0
    • scikit-learn <1.5,>=1.3.0
    • scipy <1.13,>=1.5.4