code: def maximum_log_likelihood_objective(self, data: RegressionData) -> tf.Tensor:  # type: ignore[override]
      X, Y = data
      return tf.reduce_sum(X * Y)
  
file_path: GPflow/tests/gpflow/models/test_training_mixins.py
imports: import numpy
  import tensorflow
  import gpflow
  from gpflow.base import RegressionData
label_desc: Use image node_id 1 for calling the DummyModel obj's underlying member method code with example usage: obj.maximum_log_likelihood_objective(data) and returns: tf