code: def modify_schema(self):
      self.schema["models"].keys += ["classifier_[0-9]+"]
      self.schema["loss_funcs"].keys = [
          "metric_loss_[0-9]+",
          "classifier_loss_[0-9]+",
      ]
      self.schema["mining_funcs"].keys = ["tuple_miner_[0-9]+"]
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/trainers/cascaded_embeddings.py
imports: from ..None import miners
  from ..utils import common_functions
  from .base_trainer import BaseTrainer
label_desc: Use image node_id 7 for calling the CascadedEmbeddings obj's underlying member method code with example usage: obj.modify_schema() without return types