code: def wandb_process(x: Tabular, y: Tabular, samples, outs, preds):
      df = x.all_cols
      for n in x.y_names:
          df[n + "_pred"] = y[n].values
      return {"Prediction_Samples": wandb.Table(dataframe=df)}
  
imports: from __future__ import annotations
  from ..basics import *
  from .progress import *
  from ..text.data import TensorText
  from ..tabular.all import TabularDataLoaders, Tabular
  from .hook import total_params
  from .tracker import SaveModelCallback
  import wandb
label_desc: Use image node_id 13 for calling a global function with example usage: wandb_process(x, y, samples, outs, preds) and returns: dict