docstr: Predict on the given data
docstr_tok: ["Predict","on","the","given","data"]
code: def predict(
      self,
      df: Optional[pd.DataFrame] = None,
      args: Optional[Dict] = None,
  ) -> pd.DataFrame:
      """Predict on the given data"""
      # load model
      saved_args = self.model_storage.json_get("saved_args")
      s = self._get_experiment(saved_args["model_type"])
      model = s.load_model(saved_args["model_path"])
      # predict and return
      return self._predict_model(s, model, df, saved_args)
  
file_path: mindsdb/mindsdb/integrations/handlers/pycaret_handler/pycaret_handler.py
imports: from typing import Optional, Dict
  import os
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from pycaret.classification import ClassificationExperiment
  from pycaret.regression import RegressionExperiment
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.clustering import ClusteringExperiment
  from pycaret.anomaly import AnomalyExperiment
label_desc: Use image node_id 3 for calling the PyCaretHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: self