code: def __init__(
      self, tol, C, fit_intercept, solver, max_iter, algorithm
  ):
      self.tol = tol
      self.C = C
      self.fit_intercept = fit_intercept
      self.solver = solver
      self.max_iter = max_iter
      self.algorithm = algorithm
  
imports: from abc import ABCMeta, abstractmethod
  from numbers import Number
  import numpy
  from sklearn.base import BaseEstimator
  from daal4py.sklearn._utils import get_dtype, make2d
  from onedal import _backend
  from ..common._estimator_checks import _check_is_fitted
  from ..common._mixin import ClassifierMixin
  from ..common._policy import _get_policy
  from ..datatypes import _convert_to_supported, from_table, to_table
  from ..utils import _check_array, _check_n_features, _check_X_y, _num_features, _type_of_target
label_desc: Use image node_id 1 to create a new BaseLogisticRegression object from inherited base classes: BaseEstimator with example: obj = BaseLogisticRegression(tol, C, fit_intercept, solver, max_iter, algorithm)