def get_coefs(self, feature_names: List[str], coef_func=None):
"""
Get dataframe of classifier coefficients. By default, assumes it is a pipeline with a logistic regression component
:param feature_names: list of feature names to get coefficients for. if None, uses vectorizer vocabulary
:param coef_func: function for accessing the list of coefficients from the classifier model
:return: DataFrame of features and coefficients, indexed by feature names
"""
return get_coefs_helper(self.clf, feature_names, coef_func)
def get_coefs(self, feature_names: List[str], coef_func=None):
"""
Get dataframe of classifier coefficients.
By default, assumes it is a pipeline with a logistic regression component. For other setups, the user should
define a custom `coef_func`.
:param feature_names: list of feature names to get coefficients for
:param coef_func: (optional) function for accessing the list of coefficients from the classifier model
:return: DataFrame of features and coefficients, indexed by feature names
"""
return get_coefs_helper(self.clf, feature_names, coef_func)