class_docstr: Integration with the Ludwig declarative ML library.
code: def predict(self, df, args=None):
      model = dill.loads(self.model_storage.file_get("model"))
      with RayConnection():
          predictions = self._call_model(df, model)
      return predictions
  
file_path: mindsdb/mindsdb/integrations/handlers/ludwig_handler/ludwig_handler.py
imports: from typing import Optional
  import dill
  import dask
  import pandas
  from ludwig.automl import auto_train
  from mindsdb.integrations.libs.base import BaseMLEngine
  from .utils import RayConnection
label_desc: Use image node_id 2 for calling the LudwigHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: predictions