code: def __init__(self, logical_operator, classes, device):
      super(NumericLabelEncoder, self).__init__(
          logical_operator, transformer=True
      )
      self.regression = False
      self.check_tensor = torch.nn.Parameter(
          torch.IntTensor(classes), requires_grad=False
      )
  
file_path: hummingbird/hummingbird/ml/operator_converters/_label_encoder_implementations.py
imports: import torch
  import numpy
  from ._physical_operator import PhysicalOperator
  from .None import constants
label_desc: Use image node_id 1 to create a new NumericLabelEncoder object from inherited base classes: PhysicalOperator, torch.nn with example: obj = NumericLabelEncoder(logical_operator, classes, device)