code: def prediction_strategy(
      self, train_inputs, train_prior_dist, train_labels, likelihood
  ):
      # Allow for fast variances
      return exact_prediction_strategies.SGPRPredictionStrategy(
          train_inputs, train_prior_dist, train_labels, likelihood
      )
  
imports: import copy
  import math
  from typing import Optional, Tuple
  import torch
  from linear_operator import to_dense
  from linear_operator.operators import DiagLinearOperator, LowRankRootAddedDiagLinearOperator, LowRankRootLinearOperator, MatmulLinearOperator
  from linear_operator.utils.cholesky import psd_safe_cholesky
  from torch import Tensor
  from ..None import settings
  from ..distributions import MultivariateNormal
  from ..likelihoods import Likelihood
  from ..mlls import InducingPointKernelAddedLossTerm
  from ..models import exact_prediction_strategies
  from .kernel import Kernel
label_desc: Use image node_id 10 for calling the InducingPointKernel obj's underlying member method code with example usage: obj.prediction_strategy(train_inputs, train_prior_dist, train_labels, likelihood) and returns: exact_prediction_strategies