class_docstr: Tests CurvesInterpreter.
docstr: A model is incompatible if prediction is not MulticlassPreds.
code: def test_model_compatibility(
      self, model: _Model, exp_is_compat: bool
  ):
      """A model is incompatible if prediction is not MulticlassPreds."""
      self.assertEqual(
          self.ci.is_compatible(model, _StaticTestDataset()),
          exp_is_compat,
      )
  
imports: from typing import NamedTuple
  from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import curves
  from lit_nlp.lib import caching
label_desc: Use image node_id 7 for calling the CurvesInterpreterTest obj's underlying member method code with example usage: obj.test_model_compatibility(model, exp_is_compat) without return types