class_docstr: Selects instances according to the Bayesian Active Learning by Disagreement (BALD) [HHG+11]_
  strategy.
  
  Requires that the `predict_proba()` method of the given classifier supports
  dropout sampling [GZ16]_.
  
  .. versionadded:: 1.2.0
code: def __str__(self):
      return f"BALD(dropout_samples={self.dropout_samples})"
  
imports: import numpy
  from small_text.query_strategies.strategies import QueryStrategy
label_desc: Use image node_id 3 for calling the BALD obj's underlying member method code with example usage: obj.__str__() and returns: str, self, str