class_docstr: A test model for testing tabular hot-flips on classification tasks.
class_docstr_tok: ["A","test","model","for","testing","tabular","hot-flips","on","classification","tasks","."]
code: def __init__(self, dataset: lit_dataset.Dataset) -> None:
      super().__init__()
      self._dataset = dataset
  
imports: from unittest import mock
  from absl.testing import absltest
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import minimal_targeted_counterfactuals
  from lit_nlp.lib import caching
  import numpy
  import scipy.special
label_desc: Use image node_id 1 to create a new ClassificationTestModel object from inherited base classes: lit_model with example: obj = ClassificationTestModel(dataset)