class_docstr: An abstract class for representing model outputs (e.g. predictions, probabilities, etc.)
  for internal use within Datalab. This class is not meant to be used by users.
  
  It is used internally within the issue-finding process Datalab runs to assign
  types to the data and process it accordingly.
  
  Parameters
  ----------
  data : array-like
      The model outputs. Not to be confused with the data used to train the model.
      This is mainly intended for NumPy arrays.
class_docstr_tok: ["An","abstract","class","for","representing","model","outputs","(","e.g",".","predictions",",","probabilities",",","etc",".",")","for","internal","use","within","Datalab",".","This","class","is","not","meant","to","be","used","by","users",".","It","is","used","internally","within","the","issue-finding","process","Datalab","runs","to","assign","types","to","the","data","and","process","it","accordingly",".","Parameters","--","--","--","--","--","data",":","array-like","The","model","outputs",".","Not","to","be","confused","with","the","data","used","to","train","the","model",".","This","is","mainly","intended","for","NumPy","arrays","."]
docstr: Fetch the data for issue finding.
  Usually this is just the data itself, but sometimes it may be a transformation
  of the data (e.g. a 1D array of predictions from a 2D array of predicted probabilities).
docstr_tok: ["Fetch","the","data","for","issue","finding",".","Usually","this","is","just","the","data","itself",",","but","sometimes","it","may","be","a","transformation","of","the","data","(","e.g",".","a","1D","array","of","predictions","from","a","2D","array","of","predicted","probabilities",")","."]
code: def collect(self):
      """
      Fetch the data for issue finding.
      Usually this is just the data itself, but sometimes it may be a transformation
      of the data (e.g. a 1D array of predictions from a 2D array of predicted probabilities).
      """
      pass
  
file_path: cleanlab/cleanlab/datalab/internal/model_outputs.py
imports: from abc import ABC, abstractmethod
  import numpy
  from dataclasses import dataclass
label_desc: Use image node_id 2 for calling the ModelOutput obj's underlying member method code with example usage: obj.collect() without return types