code: def item_feature_config(self) -> rlt.ModelFeatureConfig:
      return get_feature_config(self.item_float_features)
  
imports: import logging
  from typing import Dict, List, Optional, Tuple
  import reagent.core.types
  from reagent.core.dataclasses import dataclass
  from reagent.core.parameters import NormalizationData
  from reagent.gym.policies.policy import Policy
  from reagent.gym.policies.predictor_policies import create_predictor_policy_from_model
  from reagent.gym.policies.samplers.top_k_sampler import TopKSampler
  from reagent.gym.policies.scorers.slate_q_scorer import slate_q_scorer
  from reagent.model_managers.model_manager import ModelManager
  from reagent.preprocessing.normalization import get_feature_config
  from reagent.reporting.slate_q_reporter import SlateQReporter
  from reagent.training import ReAgentLightningModule
  from reagent.workflow.types import PreprocessingOptions
label_desc: Use image node_id 4 for calling the SlateQBase obj's underlying member method code with example usage: obj.item_feature_config() and returns: get_feature_config