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pkgbase = python-imbalanced-learn
	pkgdesc = Toolbox for imbalanced dataset in machine learning
	pkgver = 0.13.0
	pkgrel = 2
	url = https://github.com/scikit-learn-contrib/imbalanced-learn
	arch = any
	license = MIT
	makedepends = python-installer
	makedepends = python-wheel
	depends = python>=3.10
	depends = python-numpy>=1.24.3
	depends = python-scipy>=1.10.1
	depends = python-scikit-learn>=1.3.2
	depends = python-joblib>=1.1.0
	depends = python-threadpoolctl>=2.0.0
	depends = python-sklearn-compat>=0.1
	optdepends = python-keras: for dealing with Keras models
	optdepends = python-tensorflow: for dealing with TensorFlow models
	optdepends = python-pandas: for dealing with Pandas DataFrames
	optdepends = python-matplotlib: for included examples
	optdepends = python-seaborn: for included examples
	noextract = imbalanced_learn-0.13.0-py3-none-any.whl
	source = https://files.pythonhosted.org/packages/py3/i/imbalanced-learn/imbalanced_learn-0.13.0-py3-none-any.whl
	sha256sums = 7eb5859f7827cb3babfa5789978c22fe36e56527d9c9768df2d864d98d9b40fe

pkgname = python-imbalanced-learn