code: def plot_validation_predictions(
      cls, val_outputs: Dict, cfg: Any, val_df: pd.DataFrame, mode: str
  ) -> PlotData:
      return plot_validation_predictions(val_outputs, cfg, val_df, mode)
  
file_path: h2o-llmstudio/llm_studio/src/plots/text_causal_language_modeling_plots.py
imports: import hashlib
  import os
  from typing import Any, Dict
  import pandas
  from llm_studio.src.datasets.conversation_chain_handler import get_conversation_chains
  from llm_studio.src.datasets.text_utils import get_tokenizer
  from llm_studio.src.utils.data_utils import read_dataframe_drop_missing_labels
  from llm_studio.src.utils.plot_utils import PlotData, format_for_markdown_visualization, list_to_markdown_representation
label_desc: Use image node_id 3 for calling the Plots obj's underlying member method code with example usage: obj.plot_validation_predictions(cls, val_outputs, cfg, val_df, mode) and returns: plot_validation_predictions