class_docstr: Integration with the Auto-Sklearn ML library.
code: def predict(
      self,
      df: Optional[pd.DataFrame] = None,
      args: Optional[dict] = None,
  ) -> None:
      model = dill.loads(self.model_storage.file_get("model"))
      df = df.drop("__mindsdb_row_id", axis=1)
  
      predictions = model.predict(df)
  
      args = self.model_storage.json_get("args")
      df[args["target"]] = predictions
  
      return df
  
file_path: mindsdb/mindsdb/integrations/handlers/autosklearn_handler/autosklearn_handler.py
imports: from typing import Optional, Dict
  import dill
  import pandas
  from type_infer.api import infer_types
  import autosklearn.classification
  import autosklearn.regression
  from .config import ClassificationConfig, RegressionConfig
  from mindsdb.integrations.libs.base import BaseMLEngine
label_desc: Use image node_id 2 for calling the AutoSklearnHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: df