class_docstr: The abstract base class that represents a custom TensorFlow model.
class_docstr_tok: ["The","abstract","base","class","that","represents","a","custom","TensorFlow","model","."]
docstr: Evaluates the model with the provided data.
docstr_tok: ["Evaluates","the","model","with","the","provided","data","."]
code: def evaluate(self, data: dataset.Dataset, **kwargs):
      """Evaluates the model with the provided data."""
      return
  
file_path: mediapipe/mediapipe/model_maker/python/core/tasks/custom_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import os
  from typing import Any, Callable, Optional
  import tensorflow
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.utils import model_util
  from mediapipe.model_maker.python.core.utils import quantization
label_desc: Use image node_id 2 for calling the CustomModel obj's underlying member method code with example usage: obj.evaluate(data) without return types