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from ._loras import LORAS
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+
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+ __version__ = '0.1.0-beta.2'
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[tool.poetry]
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name = "pyloras"
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- version = "0.1.0"
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+ version = "0.1.0-beta.2 "
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description = "LoRAS: An oversampling approach for imbalanced datasets"
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authors = ["Zolisa Bleki <
[email protected] >"]
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license = "BSD-3-Clause"
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readme = 'README.md'
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keywords = [
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+ 'loras',
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'imbalanced datasets',
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'oversampling',
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'machine learning',
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'localized affine random shadowsampling'
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]
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+ classifiers = [
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+ "Intended Audience :: Science/Research",
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+ "Topic :: Scientific/Engineering :: Machine Learning :: Data Science",
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+ "License :: OSI Approved :: BSD License",
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+ "Programming Language :: Python",
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+ "Programming Language :: Python :: 3 :: Only",
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+ "Operating System :: POSIX :: Linux",
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+ "Operating System :: Microsoft :: Windows :: Windows 10",
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+ "Operating System :: MacOS :: MacOS X",
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+ ]
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+ include = [
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+ "LICENSE",
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+ ]
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[tool.poetry.dependencies]
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python = "^3.6"
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