실습: 001. Imbalanced Dataset Sampling 관련 질문

안녕하세요. 좋은 강의 감사합니다.

실습 001. 템플릿을 주피터에서 사용하다 아래와 같은 에러가 발생하였는데 해결책을 찾지 못해 문의드립니다.

라이브러리의 import가 되지 않았다는 내용인 것 같아서, pip show imblearn도 해보았더니 unknown으로 나오는데 혹시 관련이 있는 내용인지요.

ImportError                               Traceback (most recent call last)
Cell In[3], line 5
      3 import seaborn as sns
      4 from sklearn.datasets import make_classification
----> 5 from imblearn.over_sampling import RandomOverSampler
      6 from imblearn.under_sampling import RandomUnderSampler

File ~/anaconda3/lib/python3.11/site-packages/imblearn/__init__.py:52
     48     sys.stderr.write("Partial import of imblearn during the build process.\n")
     49     # We are not importing the rest of scikit-learn during the build
     50     # process, as it may not be compiled yet
     51 else:
---> 52     from . import (
     53         combine,
     54         ensemble,
     55         exceptions,
     56         metrics,
     57         over_sampling,
     58         pipeline,
     59         tensorflow,
     60         under_sampling,
     61         utils,
     62     )
     63     from ._version import __version__
     64     from .base import FunctionSampler

File ~/anaconda3/lib/python3.11/site-packages/imblearn/combine/__init__.py:5
      1 """The :mod:`imblearn.combine` provides methods which combine
      2 over-sampling and under-sampling.
      3 """
----> 5 from ._smote_enn import SMOTEENN
      6 from ._smote_tomek import SMOTETomek
      8 __all__ = ["SMOTEENN", "SMOTETomek"]

File ~/anaconda3/lib/python3.11/site-packages/imblearn/combine/_smote_enn.py:12
      9 from sklearn.base import clone
     10 from sklearn.utils import check_X_y
---> 12 from ..base import BaseSampler
     13 from ..over_sampling import SMOTE
     14 from ..over_sampling.base import BaseOverSampler

File ~/anaconda3/lib/python3.11/site-packages/imblearn/base.py:21
     18 from sklearn.utils.multiclass import check_classification_targets
     20 from .utils import check_sampling_strategy, check_target_type
---> 21 from .utils._param_validation import validate_parameter_constraints
     22 from .utils._validation import ArraysTransformer
     25 class SamplerMixin(BaseEstimator, metaclass=ABCMeta):

File ~/anaconda3/lib/python3.11/site-packages/imblearn/utils/_param_validation.py:908
    906 from sklearn.utils._param_validation import generate_valid_param  # noqa
    907 from sklearn.utils._param_validation import validate_parameter_constraints  # noqa
--> 908 from sklearn.utils._param_validation import (
    909     HasMethods,
    910     Hidden,
    911     Interval,
    912     Options,
    913     StrOptions,
    914     _ArrayLikes,
    915     _Booleans,
    916     _Callables,
    917     _CVObjects,
    918     _InstancesOf,
    919     _IterablesNotString,
    920     _MissingValues,
    921     _NoneConstraint,
    922     _PandasNAConstraint,
    923     _RandomStates,
    924     _SparseMatrices,
    925     _VerboseHelper,
    926     make_constraint,
    927     validate_params,
    928 )

ImportError: cannot import name '_MissingValues' from 'sklearn.utils._param_validation' (/Users/marco_local/anaconda3/lib/python3.11/site-packages/sklearn/utils/_param_validation.py)

Name: imblearn
Version: 0.0
Summary: Toolbox for imbalanced dataset in machine learning.
Home-page: https://pypi.python.org/pypi/imbalanced-learn/
Author: UNKNOWN
Author-email: UNKNOWN
License: UNKNOWN
Location: /Users/marco_local/anaconda3/lib/python3.11/site-packages
Requires: imbalanced-learn
Required-by: 
Note: you may need to restart the kernel to use updated packages.

커널을 다시 시작해도 동일한 문제가 발생하여 문의드립니다.