class_docstr: Base class for active learning classifiers.
  
  Parameters
  ----------
  classifier
      The classifier to wrap.
  seed
      Random number generator seed for reproducibility.
class_docstr_tok: ["Base","class","for","active","learning","classifiers",".","Parameters","--","--","--","--","--","classifier","The","classifier","to","wrap",".","seed","Random","number","generator","seed","for","reproducibility","."]
code: def __init__(
      self, classifier: base.Classifier, seed: int | None = None
  ):
      self.classifier = classifier
      self.seed = seed
      self._rng = random.Random(seed)
  
file_path: river/river/active/base.py
imports: from __future__ import annotations
  import abc
  import random
  from river import base
label_desc: Use image node_id 1 to create a new ActiveLearningClassifier object from inherited base classes: base, base with example: obj = ActiveLearningClassifier(classifier, seed)