인프런 커뮤니티 질문&답변

소스코드:

movies_df['genres_literal'] = movies_df['genres'].apply(lambda x : (' ').join(x))

count_vect = CountVectorizer(min_df=0, ngram_range=(1,2))

genre_mat = count_vect.fit_transform(movies_df['genres_literal'])

print(genre_mat.shape)

에러 코드:

InvalidParameterError                     Traceback (most recent call last)
Cell In[99], line 10
      8 count_vect = CountVectorizer(min_df=0, ngram_range=(1,2))
      9 # print(movies_df['genres_literal'])
---> 10 genre_mat = count_vect.fit_transform(movies_df['genres_literal'])

File D:\dev03\anaconda\Lib\site-packages\sklearn\base.py:1467, in _fit_context.<locals>.decorator.<locals>.wrapper(estimator, *args, **kwargs)
   1462 partial_fit_and_fitted = (
   1463     fit_method.__name__ == "partial_fit" and _is_fitted(estimator)
   1464 )
   1466 if not global_skip_validation and not partial_fit_and_fitted:
-> 1467     estimator._validate_params()
   1469 with config_context(
   1470     skip_parameter_validation=(
   1471         prefer_skip_nested_validation or global_skip_validation
   1472     )
   1473 ):
   1474     return fit_method(estimator, *args, **kwargs)

File D:\dev03\anaconda\Lib\site-packages\sklearn\base.py:666, in BaseEstimator._validate_params(self)
    658 def _validate_params(self):
    659     """Validate types and values of constructor parameters
    660 
    661     The expected type and values must be defined in the `_parameter_constraints`
   (...)
    664     accepted constraints.
    665     """
--> 666     validate_parameter_constraints(
    667         self._parameter_constraints,
    668         self.get_params(deep=False),
    669         caller_name=self.__class__.__name__,
    670     )

File D:\dev03\anaconda\Lib\site-packages\sklearn\utils\_param_validation.py:95, in validate_parameter_constraints(parameter_constraints, params, caller_name)
     89 else:
     90     constraints_str = (
     91         f"{', '.join([str(c) for c in constraints[:-1]])} or"
     92         f" {constraints[-1]}"
     93     )
---> 95 raise InvalidParameterError(
     96     f"The {param_name!r} parameter of {caller_name} must be"
     97     f" {constraints_str}. Got {param_val!r} instead."
     98 )

InvalidParameterError: The 'min_df' parameter of CountVectorizer must be a float in the range [0.0, 1.0] or an int in the range [1, inf). Got 0 instea