class_docstr: Takes an array of pairwise distances and computes the likelihood they are a pair.
class_docstr_tok: ["Takes","an","array","of","pairwise","distances","and","computes","the","likelihood","they","are","a","pair","."]
code: def predict_proba(
      self, X: numpy.typing.NDArray[numpy.float_]
  ) -> numpy.typing.NDArray[numpy.float_]:
      ...
  
file_path: dedupe/dedupe/_typing.py
imports: import os
  import sys
  from typing import TYPE_CHECKING, Any, Callable, Collection, Dict, FrozenSet, Iterable, Iterator, List, Mapping, Sequence, Tuple, Type, Union
  import numpy
  import numpy.typing
label_desc: Use image node_id 2 for calling the Classifier obj's underlying member method code with example usage: obj.predict_proba(X) without return types