code: def _predict_log_density(
      self,
      X: TensorType,
      Fmu: TensorType,
      Fvar: TensorType,
      Y: TensorType,
  ) -> tf.Tensor:
      return tf.reduce_sum(
          tf.math.log(
              self._predict_non_logged_density(X, Fmu, Fvar, Y)
          ),
          axis=-1,
      )
  
imports: from typing import Any, Optional
  import numpy
  import tensorflow
  import tensorflow_probability
  from check_shapes import check_shapes, inherit_check_shapes
  from ..base import MeanAndVariance, Module, Parameter, TensorType
  from ..config import default_float
  from ..quadrature import hermgauss
  from ..utilities import to_default_float, to_default_int
  from .base import Likelihood, MonteCarloLikelihood
label_desc: Use image node_id 5 for calling the MultiClass obj's underlying member method code with example usage: obj._predict_log_density(X, Fmu, Fvar, Y) and returns: tf