:i{(SrSSKrSSKrSSKr\ \(a\R RS5 gSSKJ r J r J r J r J r JrJrJrJr SSKJr SSKJr SS KJr "S S \R05r\"S \"5S 5r/SQrg!\a SrN~f=f)a0Toolbox for imbalanced dataset in machine learning. ``imbalanced-learn`` is a set of python methods to deal with imbalanced datset in machine learning and pattern recognition. Subpackages ----------- combine Module which provides methods based on over-sampling and under-sampling. ensemble Module which provides methods generating an ensemble of under-sampled subsets. exceptions Module including custom warnings and error clases used across imbalanced-learn. keras Module which provides custom generator, layers for deep learning using keras. metrics Module which provides metrics to quantified the classification performance with imbalanced dataset. over_sampling Module which provides methods to over-sample a dataset. tensorflow Module which provides custom generator, layers for deep learning using tensorflow. under-sampling Module which provides methods to under-sample a dataset. utils Module including various utilities. pipeline Module which allowing to create pipeline with scikit-learn estimators. NFz5Partial import of imblearn during the build process. ) combineensemble exceptionsmetrics over_samplingpipeline tensorflowunder_samplingutils) __version__)FunctionSampler) show_versionscB^\rSrSrSrSU4SjjrSrSrSrSr U=r $) LazyLoaderFzLazily import a module, mainly to avoid pulling in large dependencies. Adapted from TensorFlow: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/ python/util/lazy_loader.py cP>XlX lX@l[[U]U5 gN) _local_name_parent_module_globals_warningsuperr__init__)self local_nameparent_module_globalsnamewarning __class__s T/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/imblearn/__init__.pyrLazyLoader.__init__Ns#) *? '#M *d ,T 2c[R"UR5nXRUR'UR R UR 5 U$)z8Load the module and insert it into the parent's globals.) importlib import_module__name__rr__dict__updatermodules r _loadLazyLoader._loadUsI,,T]];FrKs B  JJMN   &%3 "U%%"L w +;