class_docstr: Calibrator calibrates the output probabilities of a model.
class_docstr_tok: ["Calibrator","calibrates","the","output","probabilities","of","a","model","."]
code: def __init__(
      self, model: ECD, backend: Backend, batch_size: int = 128
  ):
      self.model = model
      self.backend = backend
      self.batch_size = batch_size
  
imports: import numpy
  from ludwig.backend import Backend
  from ludwig.models.ecd import ECD
label_desc: Use image node_id 1 to create a new Calibrator object  with example: obj = Calibrator(model, backend, batch_size)