class_docstr: Vowpal Wabbit Scikit-learn Base Estimator wrapper
class_docstr_tok: ["Vowpal","Wabbit","Scikit-learn","Base","Estimator","wrapper"]
code: def __repr__(self, **kwargs):
      vw_vars = sorted(
          (k, v) for k, v in vars(self).items() if v is not None
      )
      items = ["{i[0]}: {i[1]}".format(i=i) for i in vw_vars]
      return "{}({})".format(self.__class__.__name__, ", ".join(items))
  
imports: import io
  import os
  import re
  from tempfile import NamedTemporaryFile
  from typing import Dict
  import numpy
  from scipy.sparse import csr_matrix
  from scipy.special import logit
  from sklearn.exceptions import NotFittedError
  from sklearn.base import BaseEstimator, RegressorMixin
  from sklearn.utils.extmath import log_logistic
  from sklearn.linear_model import LogisticRegression
  from sklearn.datasets import dump_svmlight_file
  from sklearn.utils import check_array, check_X_y, shuffle
  from vowpalwabbit import Workspace
label_desc: Use image node_id 15 for calling the VW obj's underlying member method code with example usage: obj.__repr__() and returns: str